Multi-criteria analysis for the selection of space heating systems in an industrial building

Nardin, Gioacchino; Saro, Onorio

doi:10.1016/j.energy.2010.10.005

Cited by 84 publications

(42 citation statements)

References 32 publications

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“…According to Newnan et al [69], 2% is the lowest acceptable IRR for investments in energy efficiency, but companies are more focused on the short term, and hence a higher IRRs are usually requested to opt for a certain investment [70]. Table 6, the feasibility of the different cases, with or without subsidies, is reported: in the case of negative NPV and IRR the system is not economically feasible; if the IRR is lower than the acceptable rate of return (2%), the investment should be carefully evaluated; finally, if the IRR is acceptable and the NPV positive the system installation is feasible.…”

Section: Economic Performancementioning

confidence: 99%

Assessment of Energetic, Economic and Environmental Performance of Ground-Coupled Heat Pumps

et al. 2018

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Ground-coupled heat pumps (GCHPs) have a great potential for reducing the cost and climate change impact of building heating, cooling, and domestic hot water (DHW). The high installation cost is a major barrier to their diffusion but, under certain conditions (climate, building use, alternative fuels, etc.), the investment can be profitable in the long term. We present a comprehensive modeling study on GCHPs, performed with the dynamic energy simulation software TRNSYS, reproducing the operating conditions of three building types (residential, office, and hotel), with two insulation levels of the building envelope (poor/good), with the climate conditions of six European cities. Simulation results highlight the driving variables for heating/cooling peak loads and yearly demand, which are the input to assess economic performance and environmental benefits of GCHPs. We found that, in Italy, GCHPs are able to reduce CO 2 emissions up to 216 g CO 2 /year per euro spent. However, payback times are still quite high, i.e., from 8 to 20 years. This performance can be improved by changing taxation on gas and electricity and using hybrid systems, adding a fossil-fuel boiler to cover peak heating loads, thus reducing the overall installation cost compared to full-load sized GCHP systems.

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Section: Economic Performancementioning

confidence: 99%

Assessment of Energetic, Economic and Environmental Performance of Ground-Coupled Heat Pumps

et al. 2018

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“…Importance of productivity of buildings' occupants on LCC of the buildings could be reflected on the ratio of cost associated with HVAC&R systems. Based on the cost database related to a range of 20 different HVAC&R Not explicitly defined Wang, Jing, and Zhang (2009b) Not explicitly defined Wang, Jing, and Zhang (2009a) Not explicitly defined Chiness, Nardin, and Saro (2011) Not explicitly defined Arroyo et al (2016) San Francisco, US Notes: Category 1 Studies which are highly detailed and examine both HVAC&R system performance evaluation and decision-making analysis. Category 2 represents the research studies that aimed to cover a broad range of alternatives.…”

Section: Discussionmentioning

confidence: 99%

“…Category 4 covers the Studies which are mainly focused on their adopted decision-making methods. Camejo and Hittle (1989) Qualitative: knowledge acquisition from experts and basic rules of thumb Quantitative: cost estimation Fazio, Zmeureanu, and Kowalski (1989) Qualitative: knowledge acquisition from experts and publications Quantitative: psychrometric analysis Hitchcock (1991) Quantitative: numerical simulation and cost estimation Shams, Nelson, and Maxwell (1994a) Qualitative: knowledge acquisition from experts and publications Quantitative: cost estimation Korolija et al (2009) Quantitative: numerical simulation Shapiro and Umit (2011) Quantitative: numerical simulation 4 Thiel and Mroz (2001) Qualitative: knowledge acquisition from experts and publications Quantitative: cost estimation and numerical simulation Wang et al (2008) It is based on secondary data developed by Yu (2002) Wang, Jing, andZhang (2009b) Qualitative: knowledge acquisition from experts and publications Quantitative: cost estimation Wang, Jing, and Zhang (2009a) Qualitative: knowledge acquisition from experts Quantitative: cost estimation Chiness, Nardin, and Saro (2011) Qualitative: knowledge acquisition from experts Quantitative: estimation of energy consumption using degree-days method plus cost estimation Arroyo et al (2016) Qualitative: knowledge acquisition from experts and publications Quantitative: cost estimation Notes: Category 1 Studies which are highly detailed and examine both HVAC&R system performance evaluation and decision-making analysis. Category 2 represents the research studies that aimed to cover a broad range of alternatives.…”

Section: Discussionmentioning

confidence: 99%

Decision-making on HVAC&R systems selection: a critical review

Shahrestani

Yao

Cook

et al. 2017

Intelligent Buildings International

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Buildings account for more than 40% of total energy consumption in most countries and more than 55% of this energy is used by heating, ventilation, air-conditioning and refrigeration (HVAC&R) systems. This significant energy demand, together with the global need to impose energyefficiency measures, underlines the importance of selecting the most appropriate HVAC&R system in the early stages of a design process. However, this state-of-the-art study reveals that there is no review paper available in the open literature to critically analyse the existing methods for HVAC&R systems selection. Therefore, the aim of this paper is to critically review the body of knowledge on the adopted approach for HVAC&R systems selection. Based on the comprehensive literature review, the needs and gaps in this field are identified. It is revealed that the integration of probabilistic climate changes into the decision-making processes is one of the main areas that should be addressed in future studies. In addition, reliability and Life Cycle Cost of the systems, health and well-being, occupants' satisfaction and indoor air quality are of paramount factors that should be taken into account in the decisionmaking process for HVAC&R systems selection. ARTICLE HISTORY

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“…It has also been used in sustainability assessment for different electricity generation systems (Cartelle et al, 2015) or waste management models (Milutinović et al, 2014). It has further been used in the selection of space heating systems, the ELimination Et Choix Traduisant la REalité (ELECTRE) III method being used for a historic building (Thiel and Mroz, 2001) or AHP for an industrial building (Chinese and al., 2011). Fuzzy Analytic Hierarchy Network is applied to categorize buildings according to their overall energy performance (Kabak et al, 2014).…”

Section: Literature Reviewmentioning

confidence: 99%

“…Nevertheless, the number of contributions which choose the most suitable maintenance policy in electrical power distributions systems is practically non-existent, and even more so in the case of buildings, where the gaps in the literature are even greater, as mentioned by Chinese et al (2011). Although in the last decade the number of contributions analysing the choice of maintenance policies via MCDM has increased somewhat, historically this strategic decision has been very little researched (Wang et al, 2007).…”

Section: Literature Reviewmentioning

confidence: 99%