Competitiveness of renewable energies for heat production in individual housing: A multicriteria assessment in a low-carbon energy market

Fitó, Jaume; Dimri, Neha; Ramousse, Julien

doi:10.1016/j.enbuild.2021.110971

Cited by 11 publications

(7 citation statements)

References 47 publications

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“…This shows that PV-powered solutions may have better tools to compensate for mismatch, economically speaking. This tendency was already observed and discussed for one dwelling by the authors in a previous study [17].…”

Section: Resultssupporting

confidence: 79%

“…On the other hand, both the PV panels and the ground-source heat pumps may have practical limitations such as the space available or the ability to exploit ground-source heat. It was concluded that biomass boilers and PV-powered heat pumps are theoretically almost equivalent here, but selecting one of the two is a very context-specific decision [17].…”

Section: Resultsmentioning

confidence: 99%

“…The exergoeconomic indicator is the overall cost of exergy destruction. It aggregates the exergy destruction costs of all units: (17) Despite the sums of all production units, only those targeted by each scenario are given a value. The rest become null.…”

Section: Performance Criteriamentioning

confidence: 99%

“…On the basis of the analysis criteria, it is possible to suggest system designs and architectures that are distinct from those proposed by other classic indicators. Our previous investigations included 5E analyses of heat production systems for one dwelling [17] and preliminary explorations of larger-scale systems [18].…”

Section: Introductionmentioning

confidence: 99%

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Improving Thermoeconomic and Environmental Performance of District Heating via Demand Pooling and Upscaling

2021

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This study evaluates the effects of pooling heat demands in a district for the purpose of upscaling heat production units by means of energy, exergy, economic, exergoeconomic, and environmental indicators, as well as the sensitivity to investment and fuel costs. The following production systems to satisfy the heat demands (domestic hot water production and space heating) of a mixed district composed of office (80%), residential (15%), and commercial (5%) buildings are considered: gas- and biomass-fired boilers, electric boilers and heat pumps (grid-powered or photovoltaic -powered), and solar thermal collectors. For comparison, three system sizing approaches are examined: at building scale, at sector scale (residential, office, and commerce), or at district scale. For the configurations studied, the upscaling benefits were up to 5% higher efficiency (energy and exergy), there was lower levelized cost of heat for all systems (between 20% and 54%), up to 55% lower exergy destruction costs, and up to 5% greater CO2 mitigations. In conclusion, upscaling and demand pooling tend to improve specific efficiencies, reduce specific costs, reduce total investment through the peak power sizing method, and mitigate temporal mismatch in solar-driven systems. Possible drawbacks are additional heat losses due to the distribution network and reduced performance in heat pumps due to the higher temperatures required. Nevertheless, the advantages outweigh the drawbacks in most cases.

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Section: Resultssupporting

confidence: 79%

Section: Resultsmentioning

confidence: 99%

Section: Performance Criteriamentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Improving Thermoeconomic and Environmental Performance of District Heating via Demand Pooling and Upscaling

2021

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“…A multicriteria (energy, exergy, economic and environmental) assessment of several renewable-based solutions with their grid-based counterparts solutions for residential heat production is proposed in (Fitó et al, 2021a). Even in a low-carbon energy market context, the drawbacks of each renewable-based system could be counterbalanced depending on the implementation scale.…”

Section: Definition Of Exergymentioning

confidence: 99%

Exergy Assessment of Hybrid District Heating Systems Using Resource Exergy Analysis (REA)

Jentsch¹,

Ramousse

et al. 2022

Preprint

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In this paper six supply systems for a simulated energy demand scenario are compared using resource exergy analysis (REA). The analysis is complemented with an assessment of greenhouse gas emissions. The six scenarios (S) that are compared are • S1: decentralized gas boilers, • S2: low temperature district heating using 50% heat from a block CHP plant and 50% heat from a gas boiler, • S3: decentralized air-source heat pumps, • S4: a very low temperature district heating network with a central large heat pump and decentralized electrical boilers, • S5: a cold district heating network using heat from the ground as a source for decentralized water-water heat pumps and • S6: deep geothermal low temperature district heating network. The electricity used in all scenarios is assumed to come from PV panels that are newly built on the district. Thus, all results for hybrid energy systems can be considered best-case scenarios. Scenario 1 and Scenario 6 are intended to provide reference scenarios for the evaluation of the considered hybrid energy systems. S1 allows a comparison with the current status quo. S6 is there to show how good hybrid energy systems can be if compared to one of the best thermal district heating sources. The results of the performed analysis show that hybrid energy networks can be among the most resource saving and low carbon heat supply solutions possible. In order to achieve this outcome, it is important to ensure that the electric load generated by these systems is covered by additional GHGE-free power supply. In comparison to natural gas boilers hybrid energy systems can save more than 70% of resource exergy and over 90% of GHGE. All considered hybrid energy systems produce similar savings, so that the decision on what type of hybrid energy system is best for a given community largely depends on the heat demand density, the potential for heat networks or air-water heat exchangers and the availability of suitable heat sources apart from life-cycle cost considerations. While hybrid energy networks can be among the top solutions for decreasing resource exergy consumption and GHGE, they are not the only technology suitable for resource saving and climate friendly heat supply. Scenario 6 (Deep geothermal heat) shows that district heating using suitable thermal sources can match or even outperform best case hybrid energy networks. However, since thermal sources that can directly provide heat at the temperature levels required by the building stock can be locally limited, hybrid energy networks are one of the key technologies to supply heat to areas with high heat demand density.

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How to Manage Conflicting Values in Minor Islands: A MCDA Methodology Towards Alternative Energy Solutions Assessment

Rossitti

Torrieri

2021

Lecture Notes in Computer Science

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Competitiveness of renewable energies for heat production in individual housing: A multicriteria assessment in a low-carbon energy market

Cited by 11 publications

References 47 publications

Improving Thermoeconomic and Environmental Performance of District Heating via Demand Pooling and Upscaling

Improving Thermoeconomic and Environmental Performance of District Heating via Demand Pooling and Upscaling

Exergy Assessment of Hybrid District Heating Systems Using Resource Exergy Analysis (REA)

How to Manage Conflicting Values in Minor Islands: A MCDA Methodology Towards Alternative Energy Solutions Assessment

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