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      ANALYZING TAX CREDITS FOR RESIDENTIAL ENERGY EFFICIENCY USING ENERGY MODELING

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          Abstract

          From roughly 2013 to 2016, ten building product categories related to residential energy efficiency were eligible for United States ENERGY STAR Federal Tax Credits. In general, the objective of residential energy-efficiency tax credits is to encourage individuals to increase residential energy-efficiency investments and invest in properties that generate renewable energy. This research analyses eight of the available tax credit categories for four climatic zones and recommends packages based on low Life Cycle Cost and low First Cost for the eligible ENERGY STAR products. An experiment was conducted using energy modeling software for different tax credits and costs combinations, to explore potential variability in economic impact of the federal program. Analysis used Building America B10 Benchmark as a reference, and the energy computations were completed using Building Energy Optimization (BEopt) software. Results suggest that ENERGY STAR product packages that include PV systems generally have the lowest (best) Life Cycle Costs and packages that include Geothermal Heat Pumps generally have the highest (worst) Life Cycle Costs. However, there are tradeoffs between cost savings and energy source savings, and the particular economics of tax incentives for ENERGY STAR products depend on project specifics as well as owner priorities.

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          Most cited references 8

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          Savings estimates for the United States Environmental Protection Agency's ENERGY STAR voluntary product labeling program

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            Analysis and modelling of window and glazing systems energy performance for a well insulated residential building

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              Using BEopt (EnergyPlus) with energy audits and surveys to predict actual residential energy usage

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                Author and article information

                Journal
                jgrb
                Journal of Green Building
                College Publishing
                1552-6100
                1943-4618
                1943-4618
                Winter 2018
                : 13
                : 1
                : 83-94
                Author notes

                1–3. Construction Engineering and Management, College of Engineering & Applied Science, University of Colorado Denver, 1200 Larimer Street, Denver, CO USA

                Article
                jgb.13.1.83
                10.3992/1943-4618.13.1.83
                © 2018 College Publishing
                Page count
                Pages: 12
                Product
                Categories
                RESEARCH ARTICLES

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