Life cycle cost implications of energy efficiency measures in new residential buildings

Morrissey, John; Horne, Ralph

doi:10.1016/j.enbuild.2010.12.013

Cited by 173 publications

(75 citation statements)

References 35 publications

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“…Yet, while longterm savings from improvements often exceed costs to building owners, motivating homeowners to spend money upfront on energy efficiency is difficult. Many voluntary rebate programs, especially for residences, do not tie rebates with achieved energy savings (Greening et al, 2000;Morrissey and Horne, 2011;Sadineni et al, 2011). Moreover, actual energy savings from home retrofits is often less than modeling estimates, though utilities report estimates as part of assessing home retrofit program impacts (Brown, 2012;CPUC, 2016b).…”

Section: Introductionmentioning

confidence: 99%

Structural, geographic, and social factors in urban building energy use: Analysis of aggregated account-level consumption data in a megacity

et al. 2016

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Building energy use varies widely across metropolitan Los Angeles. Building age, household income, home ownership rates, and land use are all correlated with energy consumption. High-income areas use more energy per building, while lower-income areas use more energy per square-foot. Account-level energy use data can help local governments devise conservation strategies. Energy efficiency programs need evaluated using energy consumption data. a r t i c l e i n f o b s t r a c tResidential and commercial buildings comprise approximately forty percent of total energy consumption and carbon dioxide emissions in the U.S. Yet, while California spends $1.5 billion annually on energy efficiency programs, limited research has explored how building energy consumption varies within cities, including the social and structural factors that influence electricity and natural gas use. We present results from an analysis of aggregated account-level utility billing data for energy consumption across the over two million properties in Los Angeles County. Results show that consumption in L.A. County varies widely with geography, income, building characteristics, and climate. Several higher-income areas have greater total energy use per building even in cooler climates, while many lower-income regions rank higher for energy use per square-foot. Energy consumption also correlates with building age, which varies widely throughout the region. Our results demonstrate the many complex and interrelated factors that influence urban energy use. While billing data is critical for devising energy efficiency programs that actually realize estimated savings and promote more sustainable cities, opening access to such data presents significant challenges for protecting personal privacy. The presented approach is adaptable and scalable to cities seeking to develop data-driven policies to reduce building energy use.

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Section: Introductionmentioning

confidence: 99%

Structural, geographic, and social factors in urban building energy use: Analysis of aggregated account-level consumption data in a megacity

et al. 2016

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“…En esta publicación, a partir de la evaluación de alternativas de mejoramiento térmico, se detallada la metodología estática y se presentan hojas de cálculo en la estimación del NPV(Si,Aj) conforme a la tabla 2 [12]. Investigación reciente donde se analiza un edificio reacondicionado a partir de diferentes alternativas de inversión (en la envolvente y sistemas de la vivienda) que van desde no hacer nada hasta lograr un edificio pasivo [14].…”

Section: "Life Cycle Cost Implications Of Energy Efficiency Measures unclassified

Economic assessment of energy efficiency investments in dwellings = Evaluación económica de inversiones de eficiencia energética en viviendas

Hernández

2017

B&M

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En pro de la mejora del desempeño energético de los edificios, surge la necesidad de evaluar económicamente las inversiones de eficiencia energética asociadas a la rehabilitación de viviendas. Este punto de vista trata de ser una herramienta útil para analistas que se inicien en la evaluación económica de inversiones en eficiencia energética. La presente investigación muestra un marco conceptual de la evaluación económica de este tipo de inversiones en viviendas. Como resultado, es posible identificar dos enfoques presentes en los análisis económicos de esta naturaleza: el dinámico y el estático. Ambos métodos contrastan los beneficios (ahorros energéticos) con los costes de las inversiones en el tiempo. Sin embargo, diferencian la oportunidad y el momento en que la inversión debe realizarse dado un escenario de incertidumbre. Esta precisión conceptual permite estudiar varias publicaciones donde se evaluaron diferentes alternativas de reacondicionamiento en viviendas, confirmándose las consideraciones que deben tenerse presentes en momento de realizar la modelación económica: el tipo de enfoque a usar (dinámico o estático) y, en la definición de las alternativas de inversión y escenarios, los aspectos de tiempo, irrevocabilidad e incertidumbre. Eficiencia energética de la vivienda; Inversiones en eficiencia energética; Reacondicionamiento energético; Evaluación económicaEvaluación económica de inversiones de eficiencia energética en viviendas  The literature in appraisal of dwelling energy efficient investments is investigated, founding two approaches and examples. Five cases from publications are tackled finding that the static approach is more frequent than the dynamic approach. Literature shows that dynamic approach should be preferred, but its use is scarce.

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“…Further review studies on these subjects more specifically focusing on NZEB developments are presented by Attia et al (2013) and Lu et al (2015). Several examples of application of this method also with the aim of determine the optimum in terms of energy performances and costs (life cycle or initial costs) are presented in numerous studies (Diakaki et al 2008;Brown et al 2010;Morrissey and Horne 2011;Asadi et al 2012;Fesanghary et al 2012;Kumbaroğlu and Madlener 2012;Rysanek and Choudhary 2013;Penna et al 2015).…”

Section: Literature Reviewmentioning

confidence: 99%

Identification of cost-optimal and NZEB refurbishment levels for representative climates and building typologies across Europe

et al. 2017

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The energy consumptions of the building stock are playing a central role in the energy policy of the European Union. While the Member States are applying the Directives in force, the European Commission is working to update the regulatory framework. Specifically, it is necessary to achieve the great unrealized potential for energy savings in existing buildings. With this aim, the nearly zero-energy building (NZEB) target was introduced, and a comparative methodology framework to calculate cost-optimal levels of minimum energy performance requirements was proposed. This study focuses on the issue of building renovation, and it presents the results obtained with the application of a cost-optimal calculation method for identifying proper retrofit measures to reach costoptimal levels and NZEB levels. The assessment takes into account an exhaustive set of passive and active renovation options and it was extended to various building types of 60s-70s (residential and non-residential) in a wide range of representative European climatic conditions. A very relevant energy-saving potential was found for all cost-optimal benchmarks, and in many cases, the obtained NZEB refurbishments have resulted interesting also from an economic point of view.

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Life cycle cost implications of energy efficiency measures in new residential buildings

Cited by 173 publications

References 35 publications

Structural, geographic, and social factors in urban building energy use: Analysis of aggregated account-level consumption data in a megacity

Structural, geographic, and social factors in urban building energy use: Analysis of aggregated account-level consumption data in a megacity

Economic assessment of energy efficiency investments in dwellings = Evaluación económica de inversiones de eficiencia energética en viviendas

Identification of cost-optimal and NZEB refurbishment levels for representative climates and building typologies across Europe

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