Comprehensive energy, economic and thermal comfort assessments for the passive energy retrofit of historical buildings - A case study of a late nineteenth-century Victorian house renovation in the UK
“…The use of airtightening strategies by Al-saadi et al[35] is consistent with similar approaches illustrated by Charles et al[59]. Qu et al[64] focused on a residential building improved with technologies that include airtightening improvements to seal gaps under doors and windows, roof to ceiling connections and other mechanical 7 and plumbing gaps.…”
Sustainable upgrades include actual case studies with before and after retrofit results, case studies with simulated results and use of computer systems to predict energy savings based on exiting building parameters. In the latter no actual renovations are done thus technologies and systems are assumed. The review used real cases including simulations and adopts a mix of systematic and content analysis approaches. Thus, over 288 articles were gathered from all the major scientific journals using Scopus, ProQuest, Web of Science etc. The sample was reduced to 230 articles based on the search themes; thereafter, a detailed focus on the methods used provided basis to trim the articles to 47. Sustainable technologies identified cover those installed to the external façade, indoor areas, air filtration, insulation systems, building elements, heating, ventilation and cooling (HVAC) systems, sensors, lighting, hot and cold water systems such as boilers, chillers, pumps, motors and renewable energy technologies. The results show sustainable technologies have been used to improve various existing buildings. Also, the results indicate high rate of adoption of insulation systems for external and internal walls, roofing and ceiling elements. This paper provides evidence to support the drive towards environmental sustainability through the adoption and installation of sustainable technologies. Policies to trigger demand and installation could further improve actions towards greenhouse gas reduction.
“…The use of airtightening strategies by Al-saadi et al[35] is consistent with similar approaches illustrated by Charles et al[59]. Qu et al[64] focused on a residential building improved with technologies that include airtightening improvements to seal gaps under doors and windows, roof to ceiling connections and other mechanical 7 and plumbing gaps.…”
Sustainable upgrades include actual case studies with before and after retrofit results, case studies with simulated results and use of computer systems to predict energy savings based on exiting building parameters. In the latter no actual renovations are done thus technologies and systems are assumed. The review used real cases including simulations and adopts a mix of systematic and content analysis approaches. Thus, over 288 articles were gathered from all the major scientific journals using Scopus, ProQuest, Web of Science etc. The sample was reduced to 230 articles based on the search themes; thereafter, a detailed focus on the methods used provided basis to trim the articles to 47. Sustainable technologies identified cover those installed to the external façade, indoor areas, air filtration, insulation systems, building elements, heating, ventilation and cooling (HVAC) systems, sensors, lighting, hot and cold water systems such as boilers, chillers, pumps, motors and renewable energy technologies. The results show sustainable technologies have been used to improve various existing buildings. Also, the results indicate high rate of adoption of insulation systems for external and internal walls, roofing and ceiling elements. This paper provides evidence to support the drive towards environmental sustainability through the adoption and installation of sustainable technologies. Policies to trigger demand and installation could further improve actions towards greenhouse gas reduction.
“…One common way to determine the best EEMs is the "scenario by scenario" method [10], wherein engineers make comparisons among several EEMs based on experience and simulation tools. Building energy simulation tools are powerful tools for calculating and analysing building energy performance, which including EnergyPlus [11,12], DesignBuilder [13,14], TRNSYS [15] [16] etc. For example, Cho et al used EnergyPlus to simulate building energy savings to make decisions among six packages of building energy efficiency measures [17].…”
Section: Literature Reviewmentioning
confidence: 99%
“…Environmental, economic and social objectives can be considered simultaneously under this method, such as energy consumption [20][21][22], retrofit cost [13,14,23] and thermal comfort [11]. He et al evaluated the tradeoffs among NPV, energy consumption reduction and retrofit investment for a high-rise residential building by adopting a genetic algorithm [24].…”
Buildings consume large amounts of energy resources and emit considerable amounts of greenhouse gas: especially existing buildings which do not meet energy standards. Building retrofitting is considered one of the most promising and significant solutions to reduce energy consumption and greenhouse gas emissions. However, finding suitable energy efficiency measures for existing buildings is extremely difficult due to the existence of thousands of retrofit measures and the need to meet various objectives. In this paper, a multi-stage decision framework including a multi-objective optimization model and a ranking method is proposed to help decision-makers select optimal energy efficiency measures. The multi-objective optimization model takes into account the economic objectives and the environmental objectives, expressed as retrofit cost and energy consumption, respectively. The entropy weight ideal point ranking method is adopted to sort the Pareto front and make a final decision. Then, the proposed decision framework is implemented for the retrofit planning of an educational building in Chongqing, China. The results show that decision-makers can identify near-optimal energy efficiency measures quickly through multi-objective optimization and can select suitable energy efficiency measures by the ranking method. Moreover, energy consumption can be reduced by building retrofitting. The energy consumption of the case building is 64.20 kWh/m2 before retrofitting, and the value can be reduced by 6.79% through retrofitting. Furthermore, the reduction of building energy consumption was significantly improved by applying the decision framework. The highest value of energy consumption is 59.84 kWh/m2, while the lowest value is 27.11 kWh/m2 when implementing the multi-stage decision framework. Thus, this paper provides a useful decision framework for decision-makers to formulate suitable energy efficiency measures.
“…Energy saving (%) = Energy saving (kWh) Energy used (base − case) × 100% (4) Equation ( 5) is the discounted payback period (DPP) used as a financial parameter for evaluate the economic feasibility of the final proposal. The DPP is the number of years it takes to break even from undertaking the investment cost (i 0 ) by discounting the cumulative net present values to base year, which is developed and applied with a specific discounting cash flow approach to evaluate an investment in renovation to improve building quality, thus increasing energy efficiency [55,56].…”
High energy consumption as a result of an inefficient design has both economic and environmental repercussions throughout the life cycle of a building. In Mexico, the residential sector is the third-largest final energy consumer, therefore improving the performance of existing buildings is considered an effective method in achieving energy savings. Moreover, in Mexico warm climate regions predominate, which impacts energy consumption. This article examines a linked, single-family house located in the hot-humid climate city of Villahermosa, Tabasco (México). DesignBuilder software was used to conduct the thermal energy performance simulation of the existing building (base case) and to evaluate the energy-saving potentials by implementing different passive design strategies. As a result, the annual electricity consumption of the base case decreased a maximum of 2.0% with the passive design strategy in exterior windows, 4.9% in walls and, 13.7% reduction in roofs, the latter being the enclosure with the greatest reduction achieved. Nevertheless, a final adaptation proposal with the passive design strategies, whose results represented the highest energy savings, accomplished a total reduction of 23.5% with a payback period of 5.8 years.
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