Life Cycle Assessment of Beer in Support of an Environmental Product Declaration
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Life Cycle Assessment of Beer in Support of an Environmental Product Declaration September 2013 By: Seth Lalonde, Anna Nicholson and Rita Schenck
Contents Introduction .................................................................................................................................................. 1 Goal and scope of the Study ......................................................................................................................... 1 System Function and functional unit ........................................................................................................ 1 System boundaries.................................................................................................................................... 1 Impact Categories ..................................................................................................................................... 3 Life Cycle Inventory ....................................................................................................................................... 6 Ingredients ................................................................................................................................................ 6 Fertilizer and Pesticides ........................................................................................................................ 6 Barley .................................................................................................................................................... 7 Malt and Yeast ...................................................................................................................................... 8 Hops and Hops Pellets .......................................................................................................................... 8 Adjunct Farm Products ......................................................................................................................... 8 Brewery Operations .................................................................................................................................. 8 Packaging .................................................................................................................................................. 9 Transportation .......................................................................................................................................... 9 Distribution ............................................................................................................................................... 9 Use .......................................................................................................................................................... 10 Missing Data............................................................................................................................................ 10 Calculations ............................................................................................................................................. 10 Allocation ................................................................................................................................................ 10 End of Life and Recycling ........................................................................................................................ 10 Unit process description and data quality evaluation ............................................................................ 11 Life Cycle Impact Assessment ..................................................................................................................... 17 Results ..................................................................................................................................................... 17 Sensitivity Analyses ................................................................................................................................. 21 Interpretation ............................................................................................................................................. 27 Value Judgments and Assumptions ............................................................................................................ 27 Critical Review............................................................................................................................................. 27 Environmental Product Declarations (Website Version) ............................................................................ 28 Environmental Product Declarations (Print Version).................................................................................. 32 Appendix A Data Collection Spreadsheets.................................................................................................. 35
Appendix B Data Assumptions .................................................................................................................... 44 Appendix C Life Cycle Inventory ................................................................................................................. 47 Acknowledgements..................................................................................................................................... 48 References .................................................................................................................................................. 48
1 Introduction This study is funded by a group of Beer producers, including American Brewing Co., Fort George Brewery, Harmon Brewing Company, Hop Works Brewery, The RAM, Vashon Brewery, and by the City of Tacoma Sustainability Program. They have retained the Institute for Environmental Research and Education (IERE) to develop a product category rule and an environmental product declaration (EPD) for their beer products. This document is the life cycle assessment of their beer products evaluated as part of a pilot program allowing the breweries to produce EPDs using web-based application software. IERE is a not-for-profit with a mission to undertake and disseminate comprehensive, fact-based research for use in the development of responsible environmental policy, programs and decisions. This analysis conforms to the Earthsure Beer Product Category Rule, number 50202201:2012i. This study was carried out in conformity with ISO 14040ii, 14044iii and 14025iv. Goal and scope of the Study The goal of the study is to provide an Environmental Product Declaration for beer and to be the basis of software automating the production of EPDs. The intended audiences are the general public, brewers, purchasing agents, and consumers of the product. No comparative assertions are intended. System Function and functional unit The system function is the provision of brewed beer to the customer. The Functional Unit is 12 ounces of beer consumed by a customer. In accordance with ISO 14025, this report and the application software will be reviewed by a single, independent LCA Certified Professional. This EPD is reviewed by Tom Gloria, LCACP an external reviewer. System boundaries The scope of this study is cradle to grave. The system boundary of the analysis includes all life cycle stages and is illustrated in Figure 1. Human waste from beer consumption is included in the system boundary. Per the Beer Product Category Rule, the system boundary excludes the production and disposal of capital equipment, but includes the operation of the equipment. The personnel impacts (travel to/from work; lunchroom operations and sanitary water treatment) are excluded. The office operations are excluded. In accordance with the strict attributional approach, materials sent to recycling are excluded, but any recycled materials used must be burdened by the impacts of the recycling. The system studied is shown in Figure 1.
2 Figure 1 System boundary of the beer LCA study Employee Commuting Barware Extraction Manufacture of Natural Resources Capital Goods Transport Manufacture Farming Grain Storage Materials Crushing Chemical Recycled Production Mash & Dispensing Sparge Malting Waste Boil Beer Yeast Chill/Filter Packaging Production Disposal Packaging Ferment Packaging Manufacture Reuse Delivery to Brewery Package Brewhouse & Human Natural Wastewater Gas Storage Treatment Primary Electricity Spent Grains Data Cleaning Secondary Water Data Tertiary Data Data quality, sources and cutoff rules The intent of the data collection was to gather primary data from all unit processes under the direct control of the brewery, and to seek data from the first tier suppliers. Data on the ingredients used for each beer was gathered using spreadsheets (see Appendix B). Since the production of malt and hops occurs throughout the US, and because upstream vendors did not provide primary data, less than 17% of the mass of the product was characterized using primary data. Agricultural production data was provided from USDA National Agricultural Statistics Service Information, USDA National Agricultural Library Digital Commonsv, and the Ecoinvent databasevi. First tier material content data for brewery cleaning materials was provided by the Material Safety Data Sheets (MSDSs) provided by the first tier suppliers. Life Cycle Inventory data was taken from the Ecoinvent database for the materials disclosed in the MSDSs.
3 Primary data on hops production was gathered from an aggregator representing 24 producers and approximately 25% of the total Hops production in the United States. However, it is not possible to trace this data directly to any particular brewery, and thus represents secondary data in this study. We preferred data from process LCI gathered within North America, and no more than ten years old. In some cases, this quality criterion was not met, e.g. malt, steel, and container glass data from the US was not available. We used data from OECD countries when US specific data was not available. We used region specific process LCI data whenever possible. This included the creation of an electrical grid mix to represent the current supply of the local electric utility of each brewery. When region specific processes were not available, we employed process LCI data that represented US averages. The cutoff rules used specified that at least 95% of all mass and energy and all known toxic materials are included in the analysis. No product representing more than 1% of the total mass or energy of the system was excluded. Given the sale of spent grain in North America is a very rare occurrence and is typically given away as animal feed, it is covered by a cutoff rule for recycled wastes. Packaging of farm inputs are expected to be much less than one percent of the mass of the farm product outputs and are not included in this analysis. All materials sent to recycling were outside the system boundary. Impact Categories The Life Cycle Impact Categories are those identified in the Product Category Rule. The majority of life cycle impacts were calculated using the latest version of the US EPA Tool for the Reduction and Assessment of Chemical and other Environmental Impacts (US EPA, 2012). Climate change is the result of the anthropogenic addition of greenhouse gases into the atmosphere. These gases trap heat in the atmosphere, leading to a wide diversity of effects, including sea level rise and acidification, extreme weather events such as hurricane and tornadoes and droughts and floods. Greenhouse gases are released primarily through combustion processes. Ruminant enteric fermentation and other biological processes also contribute to these emissions. Climate change ultimately yields effects such as crop failure and increased incidence of disease leading to human mortality and losses of species and ecosystems. The majority of greenhouse gases are derived from combustion, and all products include combustion in their value chains, even if only for the purpose of transportation. The midpoint indicator of climate change is the CO2 equivalents, a measure of infrared radiative forcing, using the most common and important (in terms of fraction of the greenhouse effect) gas, CO2. The lifetime of CO2 in the atmosphere is very variable, but a weighted average is near 100 years, and thus the 100 year time horizon is selected. The characterization factors are derived from I g v l l Cl C g ’ 100-year horizon global warming potentials. In addition to CO2, N2O and CH4 are major drivers of climate change. Minor drivers of climate change include many refrigerants and some industrial chemicals. All of them must be accounted for in estimating the climate change impact.
4 Acidification causes the destruction of aquatic and terrestrial ecosystems through the wet and dry deposition of strong acids and ammonia. The acidification of soils mobilizes the aluminum in the soils and this has direct toxic effects on fish and other species, as well as an indirect effect through inhibition of uptake of potassium by plants, leading to loss of forest ecosystems. Acidification also affects the built environment, causing the slow dissolution of buildings. We have chosen the stoichiometric gram equivalents of hydrogen ion for emissions of oxides of sulfur and nitrogen, ammonia, HCl, HF, H2SO4, and H3PO4. Eutrophication is the overgrowth of biomass caused by the anthropogenic release of nutrients, particularly fixed nitrogen and phosphorus. Eutrophied water bodies show early effects in terms of species distribution and toxic algal blooms, and ultimately as algae decompose eutrophication x g l l g f k ll . L g f l ’ b bj to eutrophication seasonally. The most important causes of excess nutrient releases are agriculture, human and animal wastes, and combustion processes. Beer and all food products contribute to eutrophication. I 1930’ A.C. R f l v f b g k marine ecosytems was constant (C:N:P = 106:16:1, on an atom basis) and subsequently this ratio was confirmed to be the same in freshwater systems. The Redfield ratio is the basis of all life cycle impact models. We measure the Eutrophication potential in mass of nitrogen equivalents using the US EPA TRACI 2.0 model. Ozone Depletion occurs when reactive and persistent substances interact with the beneficial ozone in the upper atmosphere, or stratosphere. This high altitude ozone filters out ultra-violet radiation l b x l f l lf f bl l ’ f . R f g and cold storage of beer are sources of ozone depletion. This impact category is measured in mass unit equivalents of CFC-11, a refrigerant and powerful ozone depleting substance. Ecotoxicity represent direct effects of releases of toxic materials on organisms. It is anticipated that toxic materials will be emitted during the production and application of pesticides and fertilizers and during the transportation of ingredients, packaging and beer in packaging. These are evaluated using the USEtox model, latest version. Photochemical smog is produced when oxides of nitrogen and volatile organic substances are present in the atmosphere in the presence of sunlight. Ozone is formed, and this form of oxygen causes many direct effects, reducing crop yields, asthma and other respiratory effects in humans and animals. The production of ozone has been shown to be more related to the existence of oxides of nitrogen (NOx) than to the release of volatile organic substances. All combustion processes in the beer life cycle chain are potential sources of photochemical smog. Measurements of smog were evaluated using the most recent U.S. EPA TRACI method, expressed in mass of ozone equivalents. Water is an important component of beer and water is used in agriculture and in cleaning processes. There is currently no consensus on how to measure water resource depletion, so at this time, consumptive freshwater use shall be the indicator. Consumptive water use includes all the use of
5 freshwater resources where the water is not replaced into the same watershed. Evaporation due to irrigation is an example of consumptive water use Land use is an important impact of all food products. Land that is not used for producing food or fiber or wood can presumably be used for wildlife and native ecosystems. There are no good models available for life cycle impacts of land use in North America, so as a default IERE simply reports the impact in units of land occupation- m2-years. Impact categories not considered Human respiratory effects are caused by particulate matter, mostly derived from combustion processes. We consider that combustion processes are addressed through the measurement of photochemical smog and climate change impacts. Human toxicity is not addressed because toxicity is covered by ecotoxicity and because the existing models were considered to be too poor quality to provide reliable results. Mineral resource depletion is not considered because there is relatively little mineral resource used in the production of beer. This is especially the case here where the manufacture of equipment is specifically excluded from analysis—this is where the majority of mineral resources might be used in the life cycle. Life cycle impact assessment results are relative expressions and do not predict impacts on category endpoints, or the exceedance of thresholds, safety margins or risks.
6 Table 1 below summarizes these impact categories and the models used. Table 1 Life Cycle Impact Assessment Models Impact Category Category Indicator Model Source Climate Change Mass of CO2 Intergovernmental Equivalents Panel on Climate Changevii, most recent publication Acidification Mass Hydrogen Ion Stoichiometric Equivalents equivalents Eutrophication Mass Nitrogen Redfield Ratioviii,ix equivalents Ozone Depletion Mass CFC-11 UNEP-SETAC 2000 equivalents Ecological toxicity CTUe USEtoxx Photochemical Smog Mass of Ozone TRACI 2 (v4.00)xi Equivalents Water Use Volume of fresh water Inventory consumed Land Use Land occupied in m2yr Inventory Life Cycle Inventory The following section explains the processes that contribute to the beer product life cycle. The processes are organized into the following life cycle stages: Ingredients (agricultural food production), Brewery Operations (beer production), Distribution (primary and secondary packaging, cold storage refrigeration, and the transportation of product to beer retail), and Use (end consumer home refrigeration and human waste). Specific assumptions for each process are explained in more detail in Appendix C. Ingredients Fertilizer and Pesticides Multiple unit processes model the production of agricultural fertilizer and pesticide inputs including the raw material extraction, beneficiation, and intermediate transportation to manufacturing locations. Nitrogen, phosphorous, and potassium fertilizer unit processes are based on 2010 primary facility data from Potash Corporationxii and represents from 30 to 70% of the total fertilizer production in North America. Boron, lime, and sulfur fertilizer production processes as well as pesticide manufacturing are modeled using Ecoinvent processes. All fertilizer processes are modeled and characterized. The following pesticides, herbicides and fungicides are currently not modeled in USEtox, hence the analysis is limited in estimating full ecological toxicity. No proxies were used to model these impacts.
7 Chemical CAS No. Function Barley at Farm Prothioconazol 178928-70-6 Fungicide Pyraclostrobin (prop) 175013-18-0 Pesticide Dimethylamine dicamba 2300-66-5 Pesticide Florasulam 145701-23-1 Pesticide Tralkoxydim 87820-88-0 Herbicide Thiamethoxam 153719-23-4 Insecticide Total mass uncharacterized: 6% Hops at Farm Abamectin 71751-41-2 Insecticide Isopropyl 2-(4-methoxy[1,1'-biphenyl]-3- yl)hydrazinecarboxylate (Bifenazate) 149877-41-8 Pesticide Copper oxychloride 1332-65-6 Fungicide Pyraclostrobin (prop) 175013-18-0 Pesticide Quinoxyfen 124495-18-7 Fungicide Trifloxystrobin 141517-21-7 Pesticide Total mass uncharacterized: 14% Corn at Farm Dicamba potassium salt 10007-85-9 Pesticide Diflufenzopyr-sodium 109293-98-3 Pesticide Dimethenamid-P 163515-14-8 Pesticide Foramsulfuron 173159-57-4 Herbicide Mesotrione 104206-82-8 Herbicide Dimethylamine dicamba 2300-66-5 Pesticide Total mass uncharacterized: 1% Barley The unit process for growing barley includes transportation of chemicals and seed to the farm, application of fertilizers and pesticides, machinery, any emissions on the farm, and terminates at the farm gate. Irrigation equipment is also excluded from analysis as being part of the farm capital equipment.
8 Barley production data is from USDA National Agricultural Statistics Service Information including the 2011 national crop summary (yield)xiii, 2011 chemical use survey (fertilizer and pesticide), 2008 census of agriculture (irrigation)xiv, and 2008 agricultural greenhouse gas inventory (energy)xv. Nutrient content of barley dry matter is based on data from USDA Natural Resources Conservation Service.xvi The production of seed is calculated by reducing the yield by the amount of seed planted. Application of mass balance principles is used to estimate fertilizer nutrient emissions to air and water by subtracting the estimated nutrient content in the crop material from the total nutrient in the fertilizer applied. Pesticides are modeled as releases to the soil. Malt and Yeast Primary data for the production of malt and yeast was not available. Thus, malt production is based on a 2008 data set provided by Danish Malting Group A/Sxvii. The inputs of malt production include barley and its transport from farm to factory, tap water, electricity, and natural gas. The yeast unit process is an Ecoinvent process. Transportation of the ingredient packaging for malt, yeast, and hops is included in the analysis where data are provided. Hops and Hops Pellets The unit process for growing hops contains the same types of inputs, outputs and fertilizer application emission rate estimates as the unit process for barley. Hops trellis materials are included as an input to the on-farm processes and their impacts are allocated based on a straight-line annualized depreciation method. The modeled inputs of hop pellets production include electricity, fuel, nitrogen, and packaging materials. The modeled outputs of hop pellets production include the pellets, packaging materials, and emissions related to cold storage refrigeration. All elements of hops production including yield, water, fertilizer, pesticide, and fuel use are based on a 2011 average dataset for a group of 24 growers in Washington State. Nutrient content of barley dry matter is based on data from USDA Natural Resources Conservation Service. Hops pellet production is based on a 2011 dataset for a specific hops pellet production facility in Washington State. Adjunct Farm Products Beers often have additional materials. These tend to be a small portion of the total dry weight of the beer production. Where data on the particular crops are available, they must be used. Specific unit processes for corn and wheat are implemented based on data from USDA National Agricultural Library Digital Commons. Where crop data is not available, an average crop unit process is used for the production of the ingredient. A sensitivity analysis is performed on the substitution. The average crop unit process is based on data from USDA 2008 census of agriculture. Brewery Operations This unit process includes transport of all ingredients, packaging and ancillary materials to the brewery, the production of the beer, the storage of beer and ingredients, cleaning of equipment, and the packaging of the beer. All information about the brewing use of energy and materials is based on primary information from the actual brewery location.
9 Several possible methods may be applied for quantifying energy resource consumption depending on the resources available at each brewery. The first approach requires using metering equipment to measure electricity and natural gas consumption for each step in the brewing process. A second method is to record the electric nameplate of all equipment, measure the duration of each step in the brewing process, and calculate electricity consumption by multiplying the duration by the voltage by amperage. The final method is to utilize the monthly utility bill and divide the total electricity consumption for the billing interval by the number of beer batches produced in the interval. Electricity production is based on a specific utility electricity grid. Where natural gas is used, it is modeled as combusted in an industrial boiler. Emissions due to cold storage refrigeration are based on IPCC GHG reporting guidelinesxviii. Packaging This unit process includes the raw material extraction and beneficiation, production of packaging materials, forming of the packaging and intermediate transport, ending at the gate of the brewery. Bottles, cans, barrels and kegs are all potential container packaging options for beer. Steel production is based on 2006/2007 World Stainless Steel LCIxix. Aluminum primary and secondary ingot production data is from the US LCI Database, and aluminum can production in the US is based on 2010 PE Americas LCIxx. Container glass production is based on 2007 European Container Glass Foundation (FEVE) life cycle inventoryxxi scaled by a factor to match the equivalent carbon footprint of North American container glass. Transportation Processes representing the transport of goods by truck, rail, container vessel, and personal vehicle were taken from the USLCI databasexxii. The transportation model will ideally be based on actual information on fuel consumption and mode of transport. Default distances values for transporting goods to the consumer are based on average mileage values reported in the 2007 Economic Census.xxiii Distribution This unit process includes the transportation, refrigerants, and electricity for delivering the beer product from the brewery to the point of sale. There are two possible types of initial delivery locations for the beer product from the brewery: distribution facility or direct retail outlet (pub/restaurant, convenience store, drug store, liquor store, grocery store). If the beer is shipped to a distributor, it is assumed the beer will also subsequently be transported to a retail outlet. The cold storage emissions at distribution and retail facilities are based on IPCC GHG reporting guidelines, and is calculated by multiplying the following factors: the fraction of the volume of beer over the average occupied refrigeration volume, the fraction of days in a year held in refrigeration, the refrigerant charge, and the annual refrigerants emissions rate. Allocation of electricity consumption due to refrigeration for beer is calculated by multiplying the following factors: the fraction of the volume of beer over the average occupied refrigeration volume, the fraction of days in a year held in refrigeration, and the annual electricity consumption of the equipment.
10 The average cold storage capacity and electricity consumption of a distribution center is based on estimates of AmeriColdxxiv, the largest cold storage facility by market share in the United States. An estimate of the electricity consumed per cubic feet of cold storage space is estimated by dividing the total cold storage space by the total electricity consumed at all facilities. Use The unit process includes the cold storage ’ l , human excretion from beer consumption, toilet use, hand washing and drying, and human waste treatment. The inventory data for human excretion is based on a model by Muñoz et al. (2007)xxv. Missing Data We were not able to obtain data on the typical refrigeration equipment used for cold storage of beer at large supermarket retail locations. We assumed the refrigerant used is R-134a with similar charge and annual emissions rate as smaller retail outlets. We also were unable to locate data quantifying the amount of consumer transportation to retail outlets that may be allocated to beer purchases versus other consumer purchases. Thus, transportation from the retail outlet to the end consumer was not included. Calculations The data were entered into the SimaPro software package to perform both life cycle inventory and life cycle impact assessment analyses. Allocation Allocation of electricity consumption and refrigeration for beer is performed by volume. All other allocation decisions are based on the standards for the Ecoinvent center, e.g. for the production of cold- rolled steel, and water. End of Life and Recycling All materials being recycled are modeled as a cutoff rule and leave the system boundary. All materials are assumed to be virgin materials, with the exception of aluminum and steel, which represent North American average production.
11 Unit process description and data quality evaluation The unit processes covered in this analysis are shown below. Table 1 Unit process descriptions Unit Processes Data Date Geography Source Technosphere UNSPSC Level Output Beer, consumption Primary 2012 USA Breweries Beer 50202201 Breweries, Munoz Beer, ingested by consumer Mixed 2012 USA Beer 50202201 et al. Sulphite pulp, bleached, at plant/RER WITH US Tertiary 2003 EU Ecoinvent Paper pulp 14101501 ELECTRICITY U Soap, at plant/RER WITH US ELECTRICITY U Tertiary 2003 EU Ecoinvent Soaps 53131608 Sodium perborate, monohydrate, powder, at Tertiary 2003 EU Ecoinvent Sodium perborate 51102728 plant/RER S Treatment, sewage, to wastewater treatment, Sewage treatment Tertiary 2009 EU Ecoinvent 76121701 class 1/CH WITH US ELECTRICITY U services Sewage treatment Wastewater Treatment, TPU Primary 2010 Tacoma City of Tacoma 76121701 services Beer, distributed at sales location Primary 2012 USA Breweries Beer 50202201 Beer, packed at plant Primary 2012 USA Breweries Beer 50202201 Beer, at plant Primary 2012 USA Breweries Beer 50202201 50221302 Malt, at plant Secondary 2005 EU Novozymes Barley malt Hop pellets, at plant Beverage crops Primary 2011 Washington Hops Producers 70141505 production (superset) Winter wheat, at farm 1996- LCA Digital Grain or legume Tertiary Kansas 70141512 2009 Commons production (superset) 1996- LCA Digital Corn, at farm Tertiary Iowa Corn 50403200 2005 Commons General agricultural crop, at farm Crop production Tertiary 2008 USA USDA Census 70141500 (superset)
12 Unit Processes Data Date Geography Source Technosphere UNSPSC Level Output Yeast paste, from whey, at fermentation/CH Ferments or enzymes WITH US ELECTRICITY U Tertiary 2006 Switzerland Ecoinvent 73101614 services (superset) North Potash Fertilizer - Nitrogen (N) at plant Secondary 2010 Nitrogenous fertilizer 10171601 America Corporation North Potash Fertilizer - Phosphorous (P) at plant Secondary 2010 Phosphatic fertilizer 10171603 America Corporation North Potash Fertilizer - Potassium (K) at plant Secondary 2010 Potassic fertilizer 10171602 America Corporation Ammonium sulphate, as N, at regional Tertiary 1998 EU Ecoinvent Sulphuric fertilizer 10171604 storehouse/RER WITH US ELECTRICITY U Limestone, milled, packed, at plant/CH WITH Tertiary 2003 Switzerland Ecoinvent Calcium fertilizer 10171611 US ELECTRICITY U Chemical fertilizers Sodium borates, at plant/US WITH US Tertiary 2007 USA Ecoivnent and plant nutrients 10171600 ELECTRICITY U (superset) Liquified natural gas Natural gas, processed, at plant/US Tertiary 2008 USA USLCI 15111511 LNG Pesticide unspecified, at regional Pesticides or pest Tertiary 2010 EU Ecoinvent 10191500 storehouse/RER WITH US ELECTRICITY U repellents Diesel, combusted in industrial equipment/US Tertiary 2008 USA USLCI Diesel fuel 15101505 Liquefied petroleum gas, combusted in Tertiary 2008 USA USLCI Kerosene 15101502 industrial boiler/US Tractor, production/CH/I WITH US Tertiary 2003 Switzerland Ecoinvent Agricultural tractors 25101901 ELECTRICITY U Agricultural Agricultural machinery, tillage, Tertiary 2003 Switzerland Ecoinvent machinery for soil 21101500 production/CH/I WITH US ELECTRICITY U preparation Agricultural Agricultural machinery, general, Tertiary 2003 Switzerland Ecoinvent machinery for 21101600 production/CH/I WITH US ELECTRICITY U planting and seeding Harvester, production/CH/I WITH US Tertiary 2003 Switzerland Ecoinvent Harvesters 21101703 ELECTRICITY U Rough green lumber, softwood, at sawmill, US Tertiary 2008 USA USLCI Pine wood 11121616 PNW/kg/US Wire drawing, steel/RER WITH US Non electric iron and Tertiary 2010 EU Ecoinvent 31152200 ELECTRICITY U steel wire Galvanized steel sheet, at plant/RNA Tertiary 2008 USA USLCI Nails (subset) 31162000
13 Unit Processes Data Date Geography Source Technosphere UNSPSC Level Output Yarn, jute, at plant/IN WITH US ELECTRICITY U Tertiary 2007 India Ecoinvent Jute yarn 11151710 Textile, jute, at plant/IN WITH US ELECTRICITY Hessian or hemp or Tertiary 2007 India Ecoinvent 11162003 U jute cloth Yarn, cotton, at plant/GLO WITH US Tertiary 2007 China, USA Ecoinvent Cotton yarn 11151702 ELECTRICITY U Tap water, at user/RER WITH US ELECTRICITY Tertiary 2005 EU Ecoinvent Town water 83101508 U-fix Tap Water, TPU Primary 2010 Tacoma Tacoma Power Town water 83101508 Natural gas, combusted in industrial Liquified natural gas equipment/RNA Tertiary 2008 USA USLCI 15111511 LNG Electricity, at grid, US/US Tertiary 2008 USA USLCI Electric utilities 83101800 Electricity, at grid, PP-OR 2010 Secondary 2010 Oregon Pacific Power Electric utilities 83101800 Washington Dept. Electricity, at grid, PP-WA 2010 Secondary 2010 Washington Electric utilities 83101800 of Commerce Washington Dept. Electricity, at grid, BentonREA 2010 Secondary 2010 Washington Electric utilities 83101800 of Commerce Electricity, at grid, PSE 2010 Washington Dept. Secondary 2010 Washington Electric utilities 83101800 of Commerce Electricity, at grid, SCL 2010 Washington Dept. Secondary 2010 Seattle Electric utilities 83101800 of Commerce TPU mix, to consumer Washington Dept. Mixed 2011 Tacoma Electric utilities 83101800 of Commerce Electricity, at grid, PGE 2010 Portland General Secondary 2008 Portland Electric utilities 83101800 Electric Transport, combination truck, diesel Road cargo transport powered/US Tertiary 2008 USA USLCI 78101800 (superset) Transport, combination truck, REEFER, diesel Road cargo transport Tertiary 2008 USA USLCI 78101800 powered/US (superset) Transport, train, diesel powered/US Road cargo transport Tertiary 2008 USA USLCI 78101600 (superset) Transport, passenger car, gasoline powered Passenger transport Tertiary 2011 USA USLCI 78110000 (superset)
14 Unit Processes Data Date Geography Source Technosphere UNSPSC Level Output Transport, ocean freighter, average fuel Marine cargo mix/US Tertiary 2008 USA USLCI 78101700 transport Gasoline, combusted in equipment/US Tertiary 2008 USA USLCI Gasoline or Petrol 15101506 Soybean methyl ester, at esterification Tertiary 2006 USA Ecoinvent Biodiesel 15101801 plant/US WITH US ELECTRICITY U Refrigerant R134a, at plant/RER WITH US ELECTRICITY U Tertiary 2004 EU Ecoinvent Refrigerant (superset) 24131513 1,1-difluoroethane, HFC-152a, at plant/US WITH US ELECTRICITY U Tertiary 2007 USA Ecoinvent Refrigerant (superset) 24131513 Chlorodifluoromethane, at plant/NL WITH US ELECTRICITY U Tertiary 2003 Netherlands Ecoinvent Refrigerant (superset) 24131513 Ammonia, liquid, at regional storehouse/CH Tertiary 2003 Switzerland Ecoinvent Refrigerant (superset) 24131513 WITH US ELECTRICITY U Acetic acid Acetic acid, at plant/kg/RNA Tertiary 2008 USA USLCI 51102706 antiseptics (subset) Dipropylene glycol monomethyl ether, at plant/RER WITH US ELECTRICITY U Tertiary 2007 EU Ecoinvent Propylene glycol 12352135 Hydrogen peroxide, 50% in H2O, at plant/RER Hydrogen peroxide WITH US ELECTRICITY U Tertiary 2003 EU Ecoinvent 51102709 antiseptics (subset) Isopropanol, at plant/RER WITH US ELECTRICITY U Tertiary 2003 EU Ecoinvent Solvents (superset) 12190000 Phosphoric acid, industrial grade, 85% in H2O, at plant/RER WITH US ELECTRICITY U Tertiary 2004 EU Ecoinvent Solvents (superset) 12190000 Monoethanolamine, at plant/RER WITH US ELECTRICITY U Tertiary 2003 EU Ecoinvent Solvents (superset) 12190000 Nitric acid, 50% in H2O, at plant/RER WITH US Tertiary 2003 EU Ecoinvent Solvents (superset) 12190000 ELECTRICITY U
15 Unit Processes Data Date Geography Source Technosphere UNSPSC Level Output Potassium hydroxide, at regional storage/RER Tertiary 2005 EU Ecoinvent Potassium hydroxide 12352320 WITH US ELECTRICITY U Propylene oxide, liquid, at plant/RER WITH US Tertiary 2003 EU Ecoinvent Polypropylene oxide 13111050 ELECTRICITY U Sodium carbonate from ammonium chloride production, at plant/GLO WITH US Tertiary 2009 World Ecoinvent Solvents (superset) 12190000 ELECTRICITY U Sodium hydroxide, production mix, at Tertiary 2008 US USLCI Sodium hydroxide 12352316 plant/kg/RNA Sodium metasilicate pentahydrate, 58%, powder, at plant/RER WITH US ELECTRICITY Tertiary 2003 EU Ecoinvent Solvents (superset) 12190000 U Sodium percarbonate, powder, at plant/RER S Tertiary 2003 EU Ecoinvent Solvents (superset) 12190000 Sodium phosphate, at plant/RER WITH US Tertiary 2003 EU Ecoinvent Sodium phosphate 51171622 ELECTRICITY U Sodium tripolyphosphate, at plant/RER WITH Tertiary 2003 EU Ecoinvent Solvents (superset) 12190000 US ELECTRICITY U Aluminum can Secondary 2010 USA PE International Aluminum cans 24121806 Carbon dioxide liquid, at plant/RER WITH US Secondary 2004 EU Ecoinvent Carbon dioxide gas 12142104 ELECTRICITY U Aluminum ingot, production mix, at plant/US Tertiary 2008 USA USLCI Aluminum ingot 30265202 Container glass, at plant Secondary 2007 EU FEVE Glass bottles 24122003 Polyethylene terephthalate resin, at Polyethylene Tertiary 2008 USA USLCI 13102020 plant/kg/RNA Terephthalate PET World Stainless Stainless steel mix Secondary 2007 World Stainless steel coil 30264700 Steel Franklin Wood pallet Secondary 2009 USA Wood pallet 24112701 Associates
16 Unit Processes Data Date Geography Source Technosphere UNSPSC Level Output Corrugated and other Containerboard Tertiary 2009 USA USLCI supplies for 24112500 distribution (superset) Franklin Corrugated cardboard Tertiary 1998 USA Cardboard 14121503 Associates Paper, woodcontaining, supercalendred (SC), Canning or bottling Tertiary 2003 EU Ecoinvent 55121604 at plant/RER WITH US ELECTRICITY U labels Franklin Unbleached Paperboard Unbl. Semichem. FAL Tertiary 1998 USA 14121502 Associates paperboard High Density High density polyethylene resin, at plant/RNA Tertiary 2008 USA USLCI 13102017 Polyethylene HDPE Polyvinyl Chloride Polyvinyl chloride resin, at plant/RNA Tertiary 2008 USA USLCI 13102030 PVC Low Density Low density polyethylene resin, at plant/RNA Tertiary 2008 USA USLCI 13102018 Polyethylene LDPE Polypropylene resin, at plant/RNA Tertiary 2008 USA USLCI Polypropylene PP 13102022 General purpose polystyrene, at plant/RNA Tertiary 2008 USA USLCI Polystyrene PS 13102026 Sulphite pulp, bleached, at plant/RER WITH US Tertiary 2003 EU Ecoinvent Paper pulp 14101501 ELECTRICITY U Three data sets are more than 10 years old. These inventories are related to paper-based packaging, and conversations with Franklin and Associates confirmed that they had not changed significantly. Forty-five of the unit processes are based on either US or North American sources, 32 of the unit processes are from European sources, and five other global sources. We believe the production of these materials is quite similar in OECD countries, so the use of this data is appropriate. Overall, this data set is considered to be good or very good. A full listing of the inventory can be found in Appendix C.
17 Life Cycle Impact Assessment Results Table 2 Life Cycle Impact Assessment Results, per 12 oz. beer consumed, Smoked Stout, Vashon Brewing Company. Impact Category Equivalent Ingredients Brewery Packaging Distribution Use TOTAL LCIA Method Units Climate Change kg CO2 0.13 0.58 0.056 0.036 0.38 1.17 IPCC, 100 yr GWP Ozone Depletion ug CFC-11 11 5.1 1.3 5.0 0.8 23.6 UNEP-SETAC Acidification g H+ 0.07 0.24 0.03 0.02 0.009 0.37 TRACI 2 v4.00 Eutrophication gN 0.67 0.07 0.07 0.12 0.32 1.26 TRACI 2 v4.00 Toxicity CTUe 2.0 0.24 0.13 0.06 0.04 2.4 USETOX Smog g O3 16 32 7.3 8.7 1.6 65 TRACI 2 v4.00 Water Use Liters 38 0.3 0.60 0.033 11 49.7 Inventory Land Use m2-yr 0.36 3.4E-03 0.79 5.0E-05 0.030 1.2 Inventory Table 3 Life Cycle Impact Assessment Results, per 12 oz. beer consumed, Vortex IPA, Fort George Brewery. Impact Category Equivalent Ingredients Brewery Packaging Distribution Use TOTAL LCIA Method Units Climate Change kg CO2 0.18 0.13 0.064 0.019 0.39 0.78 IPCC, 100 yr GWP Ozone Depletion ug CFC-11 24.0 0.0 1.5 4.9 1.0 31.4 UNEP-SETAC Acidification g H+ 0.10 0.05 0.02 7.3E-03 0.012 0.20 TRACI 2 v4.00 Eutrophication gN 1.09 0.02 1.37 4.3E-03 0.32 2.80 TRACI 2 v4.00 Toxicity CTUe 2.7 0.11 0.04 0.03 0.04 2.9 USETOX Smog g O3 22 5 3.9 2.2 2.1 35 TRACI 2 v4.00 Water Use Liters 56 0.7 0.15 0.022 11 68 Inventory Land Use m2-yr 0.51 8.6E-05 1.2E-02 8.0E-08 0.030 0.5 Inventory
18 Table 4 Life Cycle Impact Assessment Results, per 12 oz. beer consumed, Pinnacle Peak Pale Ale, Harmon Brewing Company. Impact Category Equivalent Ingredients Brewery Packaging Distribution Use TOTAL LCIA Method Units Climate Change kg CO2 0.11 0.01 0.031 0.017 0.39 0.56 IPCC, 100 yr GWP Ozone Depletion ug CFC-11 12 1.8E-02 1.6 5.0 1.0 19.4 UNEP-SETAC Acidification g H+ 0.06 4.1E-03 8.8E-03 6.4E-03 0.013 0.094 TRACI 2 v4.00 Eutrophication gN 0.63 1.8E-03 8.1E-03 3.5E-03 0.32 0.96 TRACI 2 v4.00 Toxicity CTUe 1.7 4.2E-03 0.02 0.02 0.04 1.8 USETOX Smog g O3 13 0.71 1.5 1.8 2.2 20 TRACI 2 v4.00 Water Use Liters 33 0.79 0.05 0.000 11 45 Inventory Land Use m2-yr 0.32 4.2E-03 1.2E-02 8.1E-08 0.030 0.36 Inventory Table 5 Life Cycle Impact Assessment Results, per 12 oz. beer consumed, HUB Lager, Hopworks Urban Brewery. Impact Category Equivalent Ingredients Brewery Packaging Distribution Use TOTAL LCIA Method Units Climate Change kg CO2 0.07 0.14 0.003 0.017 0.39 0.62 IPCC, 100 yr GWP Ozone Depletion ug CFC-11 9.0 0.08 4.6E-02 4.9 0.9 15.0 UNEP-SETAC Acidification g H+ 0.04 0.06 1.4E-03 6.4E-03 0.012 0.12 TRACI 2 v4.00 Eutrophication gN 0.42 5.1E-02 4.9E-03 7.7E-03 0.32 0.80 TRACI 2 v4.00 Toxicity CTUe 1.0 0.14 0.01 0.02 0.04 1.3 USETOX Smog g O3 9.0 5.1 0.28 1.7 2.0 18 TRACI 2 v4.00 Water Use Liters 21 1.93 0.039 2.5E-03 11 34 Inventory Land Use m2-yr 0.19 4.2E-04 3.2E-02 1.2E-03 0.030 0.26 Inventory
19 Table 6 Life Cycle Impact Assessment Results, per 12 oz. beer consumed, Big Horn Blonde Ale, RAM Brewery. Impact Category Equivalent Ingredients Brewery Packaging Distribution Use TOTAL LCIA Method Units Climate Change kg CO2 0.08 0.03 5.2E-04 0.010 0.39 0.50 IPCC, 100 yr GWP Ozone Depletion ug CFC-11 6.9 2.7E-02 1.6E-02 4.9 0.8 13 UNEP-SETAC Acidification g H+ 4.0E-02 6.2E-03 1.8E-04 4.0E-03 8.8E-03 5.9E-02 TRACI 2 v4.00 Eutrophication gN 4.1E-01 3.7E-03 9.6E-04 1.1E-03 0.32 0.74 TRACI 2 v4.00 Toxicity CTUe 1.1 0.02 1.5E-03 3.4E-03 0.04 1.2 USETOX Smog g O3 8.8 0.73 0.02 0.60 1.6 12 TRACI 2 v4.00 Water Use Liters 22 0.64 2.0E-03 2.6E-04 11 33 Inventory Land Use m2-yr 0.21 7.7E-04 9.3E-05 8.0E-08 0.03 0.24 Inventory
20 The environmental impacts of beer consumption are primarily related to material inputs, brewery operations, and beer consumption. The ingredient phase of the life cycle is the main contributor to ecotoxicity, ozone depletion, and water use at all five breweries; it is also the prime factor in eutrophication, land use, and smog at four breweries. The brewery phase is the primary contributor to climate change and acidification at three breweries; this phase has the highest smog value at a single brewery. The consumer use phase contributes heavily to climate change given the release of CO2 when beer is consumed. The packaging phase is not a common prime source of impacts among the breweries; nonetheless, it is the main contributor to eutrophication and land use at an individual brewery. LCIA results are relative expressions and do not predict impacts on category endpoints, the exceeding of thresholds, safety margins or risks.
21 Sensitivity Analyses In accordance with the product category rule, the following sensitivity analyses were performed: Variability of barley production (plus or minus the measured standard deviation) Variability of wood pallet lifetime use (range is half and double estimated value) Variability of storage duration in refrigerated truck (range is half and double estimated value) Variability of storage duration at distribution center (range is half and double estimated value) Variability of storage duration at retail location (range is half and double estimated value) Variability of storage duration in home refrigerator (range is half and double estimated value) The results can be seen below. In each case, the middle figure represents the baseline scenario with the lower and upper scenarios to the left and right, respectively. Table 7 Sensitivity for barley production variation Vashon Fort George Harmon Hopworks RAM Units Mean Mean Mean Mean Mean Min Max Max Max Max Max Min Min Min Min Barley Production kg/FU 1.05 1.22 1.39 1.05 1.22 1.39 1.05 1.22 1.39 1.05 1.22 1.39 1.05 1.22 1.39 Climate Change kg CO2 1.16 1.17 1.19 0.76 0.78 0.80 0.54 0.56 0.57 0.61 0.62 0.63 0.49 0.50 0.51 Ozone Depletion Ug CFC-11 22 24 25 30 31 33 18 19 20 14 15 16 12 13 13 Acidification g H+ 0.37 0.37 0.38 0.19 0.20 0.21 0.09 0.09 0.10 0.11 0.12 0.12 0.05 0.06 0.06 Eutrophication gN 1.2 1.3 1.3 2.7 2.8 2.9 0.9 1.0 1.0 0.8 0.8 0.8 0.7 0.7 0.8 Toxicity CTUe 2.2 2.4 2.7 2.6 2.9 3.3 1.6 1.8 2.0 1.1 1.3 1.4 1.0 1.2 1.3 Smog g O3 64 65 67 33 35 37 18 20 21 17 18 19 11 12 12 Water Use Liters 45 50 54 61 68 74 41 45 49 32 34 37 30 33 36 2 Land Use m -yr 1.1 1.2 1.2 0.48 0.55 0.62 0.32 0.36 0.40 0.23 0.26 0.28 0.21 0.24 0.27
22 Varying the input values of barley production causes all brewery impact category results to decrease and increase between 1-13% at a minimum. The most significant variation occurs in land use and toxicity with changes up to 13%. Table 8 Sensitivity for wood pallet lifetime Vashon Fort George Harmon Hopworks RAM Units Mean Mean Mean Mean Mean Min Max Max Max Max Max Min Min Min Min Wood Pallet Times 8 4 2 8 4 2 8 4 2 8 4 2 8 4 2 Lifetime Used Climate Change kg CO2 1.2 1.2 1.20 0.78 0.78 0.78 0.56 0.56 0.56 0.62 0.62 0.62 0.50 0.50 0.50 Ozone Depletion ug CFC-11 23 24 25 31 31 31 19 19 19 15 15 15 13 13 13 Acidification g H+ 0.37 0.37 0.39 0.20 0.20 0.20 0.09 0.09 0.09 0.12 0.12 0.12 0.06 0.06 0.06 Eutrophication gN 1.2 1.3 1.3 2.8 2.8 2.8 1.0 1.0 1.0 0.8 0.8 0.8 0.7 0.7 0.7 Toxicity CTUe 2.4 2.4 2.5 2.9 2.9 2.9 1.8 1.8 1.8 1.3 1.3 1.3 1.2 1.2 1.2 Smog g O3 63 65 69 35 35 35 20 20 20 18 18 18 12 12 12 Water Use Liters 49 50 50 68 68 68 45 45 45 34 34 34 33 33 33 Land Use m2-yr 0.80 1.2 2.0 0.54 0.55 0.56 0.36 0.36 0.37 0.24 0.26 0.29 0.24 0.24 0.24 For most breweries, altering the wood pallet lifetime does not significantly alter the impact category results. However, Vashon Brewery has relatively more pallet use than the other breweries and its land use result increases the most by 67% given two pallet uses and decreases by 33% when used eight times.
23 Table 9 Sensitivity for cold storage duration in truck Vashon Fort George Harmon Hopworks RAM Units Mean Mean Mean Mean Mean Min Max Max Max Max Max Min Min Min Min Truck Refrigeration Days 0.5 1 2 0.5 1 2 0.5 1 2 0.5 1 2 0.5 1 2 Climate Change Kg CO2 1.2 1.2 1.2 0.78 0.78 0.78 0.56 0.56 0.56 0.62 0.62 0.62 0.50 0.50 0.50 Ozone Depletion Ug CFC-11 23 24 24 31 31 32 19 19 20 15 15 16 12 13 13 Acidification g H+ 0.37 0.37 0.37 0.20 0.20 0.20 0.09 0.09 0.09 0.12 0.12 0.12 0.06 0.06 0.06 Eutrophication gN 1.3 1.3 1.3 2.8 2.8 2.8 1.0 1.0 1.0 0.8 0.8 0.8 0.7 0.7 0.7 Toxicity CTUe 2.4 2.4 2.4 2.9 2.9 2.9 1.8 1.8 1.8 1.3 1.3 1.3 1.2 1.2 1.2 Smog g O3 65 65 65 35 35 35 20 20 20 18 18 18 12 12 12 Water Use Liters 50 50 50 68 68 68 45 45 45 34 34 34 33 33 33 Land Use M2-yr 1.19 1.2 1.2 0.55 0.55 0.55 0.36 0.36 0.36 0.26 0.26 0.26 0.24 0.24 0.24 Ozone depletion is the only impact category significantly sensitive to changes in the length of storage duration in a refrigerated truck; climate change impacts change by a maximum of 0.02%. Ozone depletion results for the Fort George, Harmon and Hopworks brewery are the most sensitive, increasing by 4%, 5% and 6% respectively.
24 Table 10 Sensitivity for cold storage duration at distribution center Vashon Fort George Harmon Hopworks RAM Units Mean Mean Mean Mean Mean Min Max Max Max Max Max Min Min Min Min Distribution Center Days 2.5 5 10 2.5 5 10 2.5 5 10 2.5 5 10 2.5 5 10 Refrigeration Climate Change kg CO2 1.2 1.2 1.2 0.78 0.78 0.78 0.56 0.56 0.56 0.62 0.62 0.62 0.50 0.50 0.50 Ozone Depletion ug CFC-11 24 24 24 31 31 31 19 19 19 15 15 15 13 13 13 Acidification g H+ 0.37 0.37 0.37 0.20 0.20 0.20 0.09 0.09 0.09 0.12 0.12 0.12 0.06 0.06 0.06 Eutrophication gN 1.3 1.3 1.3 2.8 2.8 2.8 1.0 1.0 1.0 0.8 0.8 0.8 0.7 0.7 0.7 Toxicity CTUe 2.4 2.4 2.4 2.9 2.9 2.9 1.8 1.8 1.8 1.3 1.3 1.3 1.2 1.2 1.2 Smog g O3 65 65 65 35 35 35 20 20 20 18 18 18 12 12 12 Water Use Liters 50 50 50 68 68 68 45 45 45 34 34 34 33 33 33 Land Use m2-yr 1.2 1.2 1.2 0.55 0.55 0.55 0.36 0.36 0.36 0.26 0.26 0.26 0.24 0.24 0.24 No impact categories are significantly sensitive to changes in the value of storage duration at the distribution center. Global warming, acidification, and smog results for the Fort George, Harmon and Hopworks breweries are impacted between -0.001% and 0.08%.
25 Table 11 Sensitivity for cold storage duration at retail location Vashon Fort George Harmon Hopworks RAM Units Mean Mean Mean Mean Mean Min Max Max Max Max Max Min Min Min Min Retail Days 3.5 7 14 3.5 7 14 3.5 7 14 3.5 7 14 3.5 7 14 Refrigeration Climate Change kg CO2 1.2 1.2 1.2 0.78 0.78 0.79 0.55 0.56 0.57 0.62 0.62 0.63 0.50 0.50 0.50 Ozone Depletion ug CFC-11 24 24 24 29 31 36 17 19 24 13 15 19 13 13 13 Acidification g H+ 0.37 0.37 0.37 0.20 0.20 0.20 0.09 0.09 0.10 0.12 0.12 0.12 0.06 0.06 0.06 Eutrophication gN 1.3 1.3 1.3 2.8 2.8 2.8 1.0 1.0 1.0 0.8 0.8 0.8 0.7 0.7 0.7 Toxicity CTUe 2.4 2.4 2.4 2.9 2.9 2.9 1.8 1.8 1.8 1.3 1.3 1.3 1.2 1.2 1.2 Smog g O3 65 65 65 35 35 36 19 20 20 18 18 19 12 12 12 Water Use Liters 50 50 50 68 68 68 45 45 45 34 34 34 33 33 33 Land Use m2-yr 1.2 1.2 1.2 0.55 0.55 0.55 0.36 0.36 0.36 0.26 0.26 0.26 0.24 0.24 0.24 Climate change and acidification are mildly sensitive to changes in the value of storage duration at retail locations increasing between 1-4%. Ozone depletion is most sensitive for Ft. George, Harmon, and Hopworks breweries with differences ranging from a 13-28% increase given 14 ’ g 7-14% g v 3.5 ’ g .
26 Table 12 Sensitivity for storage duration in home refrigerator Vashon Fort George Harmon Hopworks RAM Units Mean Mean Mean Mean Mean Min Max Max Max Max Max Min Min Min Min Home Refrigeration Days 7 14 28 7 14 28 7 14 28 7 14 28 7 14 28 Climate Change kg CO2 1.2 1.2 1.2 0.78 0.78 0.79 0.55 0.56 0.57 0.62 0.62 0.63 0.50 0.50 0.50 Ozone Depletion ug CFC-11 24 24 24 31 31 32 19 19 20 15 15 15 13 13 13 Acidification g H+ 0.37 0.37 0.37 0.20 0.20 0.20 0.09 0.09 0.10 0.12 0.12 0.12 0.06 0.06 0.06 Eutrophication gN 1.3 1.3 1.3 2.8 2.8 2.8 1.0 1.0 1.0 0.8 0.8 0.8 0.7 0.7 0.7 Toxicity CTUe 2.4 2.4 2.4 2.9 2.9 2.9 1.8 1.8 1.8 1.3 1.3 1.3 1.2 1.2 1.2 Smog g O3 65 65 65 35 35 36 19 20 20 18 18 18 12 12 12 Water Use Liters 50 50 50 68 68 68 45 45 45 34 34 34 33 33 33 Land Use m2-yr 1.2 1.2 1.2 0.55 0.55 0.55 0.36 0.36 0.36 0.26 0.26 0.26 0.24 0.24 0.24 Varying the value of storage duration at the consumer home has little effect on the environmental impact results. Global warming, ozone, acidification and smog results for the Ft. George, Harmon and Hopworks brewery are impacted between 1-4%. There were no changes to the system boundary as a result of the sensitivity analyses.
27 Interpretation The LCIA results show the life cycle impacts of consumption of 12 fl. oz of beer for the purpose of developing an environmental product declaration. Since no comparative assertions are intended, only internal information and comparison can be made. The impact assessment results reflect that the ingredients and brewery phases are the key contributors of impacts while the packaging phase may also be significant at specific breweries. Sensitivity analyses show that variation in barley production has a moderate impact on the overall environmental impact of the product, and that the duration of cold storage in refrigerated trucks and retail locations has a moderate to high influence on ozone depletion results. The data used in this study met the data quality requirements initially defined with the exception of the requirement that data representing 80% of product mass be derived from primary data sources. Only 17% of the mass of the product is represented by primary data. Value Judgments and Assumption The value judgments in this analysis are very limited: any value judgments were made in the product category rule. No weighting, grouping or normalization was performed in the study. Allocation of electricity consumption and refrigeration for beer was performed by volume. Data sources for the analysis were either from North American or from OECD countries. We have assumed that the production of malt, steel, container glass, chemical products, and tap water are similar in the EU and in the US. Critical Review In accordance with ISO 14025 and the Earthsure Program Guidance, this document was reviewed by a certified LCA professional, Thomas Gloria of Industrial Ecology Consultants, LCACP 2008-3.
28 Environmental Product Declarations (Website Version)
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32 Environmental Product Declarations (Print Version)
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35 Appendix A Data Collection Spreadsheets GENERAL INFORMATION Date Entry Completed By John Doe Date of Data Entry 4/15/2012 Brewery Name Example Brewing Company 5013 North Pearl Street, Ruston, Location WA Zipcode 98047 UTILITIES Electric Utility Puget Sound Energy Natural Gas Utility Puget Sound Energy Water Utility Tacoma Public Utilities RENEWABLE ENERGY Site Connected To Electric Grid Yes Site Produces Renewable Energy No Renewable Energy Type Annual Renewable Energy Produced (kWh) 0.00
36 PRODUCT INFORMATION Beer Product Name Beer ABC Beer Product Type Lager Beer Product Style vienna-style lager Preferred EPD Functional Unit 16 ounces Date Batch Produced 4/15/2012 WATER CONSUMPTION Specify volumes used for one batch of beer Volume Units Beer Produced Per Batch 31.00 gallons Water for Beer Per Batch 50.00 gallons Water for Cleaning Per Batch 20.00 gallons WASTE MANAGEMENT Specify amounts of waste produced for one batch of beer Quantity Waste Waste Type (Weight / Units Treatment Volume) Spent Grains animal feed 150.00 pounds Trub / Hotbreak sewage 8.00 gallons Coldbreak compost 4.00 gallons Wastewater sewage 28.00 gallons disposal Hazardous Waste facility 0.00 gallons
37 BEER REFRIGERATION Specify refrigerator and time one batch of beer stored in refrigeration Refrigerator Brand and Model SPT WA-6011S Average Time in Refrigerator Units 7.00 Days RECIPE INGREDIENTS Specify weights of ingredients for one batch of beer Organic Ingredient Product Name Weight Units (yes/no) malt 6-Row Brewers Malt No 75.00 pounds Aromatic Malt - European style 2-row malt malt No 35.00 pounds hops Apollo Pellet Hops Yes 8.00 ounces hops Crystal Pellet Hops Yes 4.00 ounces yeast Direct Pitch Activator unknown 11.50 grams apricot California Apricot No 1.00 pounds
38 Enter shipping transportation for each ingredient Fuel Location Shipped Supplier Fuel Type Supplier Name Shipping Method Consumed Units From Type (if self) (if self) Briess Malt & Ingredients Chilton, WI manufacturer common carrier: rail Briess Malt & Ingredients Chilton, WI manufacturer common carrier: rail common carrier: Hops Direct Mabton, WA manufacturer truck common carrier: Hops Direct Mabton, WA manufacturer truck Wyeast Laboratories Hood River, OR Distributor self: passenger car gasoline 2.00 gallons Safeway Tacoma, WA Retailer self: truck diesel 2.00 gallons Specify weights of ingredient packaging materials for one batch of beer Packaging Packaging Material Weight Units Waste Treatment plastic #4 (LDPE - low density polyethylene) 10.00 pounds recycle plastic #4 (LDPE - low density polyethylene) 10.00 pounds recycle Aluminum 10.00 pounds landfill Aluminum 10.00 pounds landfill Cardboard 10.00 pounds recycle
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