Multicarrier energy systems: Optimization model based on real data and application to a case study

Noussan, Michel; Jarre, Matteo

doi:10.1002/er.3936

Cited by 18 publications

(8 citation statements)

References 36 publications

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“…Furthermore, the same authors in Reference 17 have developed an operational optimization method for a multicarrier energy system. The plant of a hospital has been considered as case study in which multiple energy needs occur and they are satisfied by different conversion technologies (including EHPs).…”

Section: Introductionmentioning

confidence: 99%

Energy and environmental performance of a heat pump in different power grid scenarios

2020

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Electric-driven heat pumps are one of the most encouraging systems that could support the raising of renewables contribution in civil sector energy consumption, especially with reference to the Countries with a high contribution of renewable energy sources in electricity generation mix. However, the evaluation of the effective energy and environmental performance of an electric heat pump meeting the space heating and cooling requests of a building has to consider several factors that affect the results. Among them great attention should be given to the variability of weather conditions in which the system operates, the changeability of the

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Section: Introductionmentioning

confidence: 99%

Energy and environmental performance of a heat pump in different power grid scenarios

2020

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“…The definition of normative requirements for building efficiency accounts for climate conditions (and possibly for climate change effects in the medium-long term [45,46]); however, it is difficult to account for complex effects, such as temperature dependency, without using detailed simulation models. Clearly, underestimations or overestimations of building thermal performance have an impact on energy supply design and operation [47]. For this reason, average heat flux values have been analyzed in the subsequent section, comparing percentage deviations.…”

Section: Seasonal Average Heat Flux Through Building Componentsmentioning

confidence: 99%

On the Effects of Variation of Thermal Conductivity in Buildings in the Italian Construction Sector

et al. 2018

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Stationary and dynamic heat and mass transfer analyses of building components are an essential part of energy efficient design of new and retrofitted buildings. Generally, a single constant thermal conductivity value is assumed for each material layer in construction components. However, the variability of thermal conductivity may depend on many factors; temperature and moisture content are among the most relevant ones. A linear temperature dependence of thermal conductivity has been found experimentally for materials made of inorganic fibers such as rockwool or fiberglass, showing lower thermal conductivities at lower temperatures. On the contrary, a nonlinear temperature dependence has been found for foamed insulation materials like polyisocyanurate, with a significant deviation from linear behavior. For this reason, thermal conductivity assumptions used in thermal calculations of construction components and in whole-building performance simulations have to be critically questioned. This study aims to evaluate how temperature affects thermal conductivity of materials in building components such as exterior walls and flat roofs in different climate conditions. Therefore, experimental conductivities measured for four common insulation materials have been used as a basis to simulate the behavior of typical construction components in three different Italian climate conditions, corresponding to the cities of Turin, Rome, and Palermo.Energies 2018, 11, 872 2 of 17 new EU economy [6] since the finance of energy efficiency can be unlocked by public and private partnership and not rely only on EU funds [7]. Considering the problem of space heating demand reduction, heat losses can be decreased by improving envelope performance with increased levels of insulation. This measure is the most effective way to drastically reduce heating demand, considering, of course, dependence on climate conditions [8]. However, in the existing building stock, this measure is much more costly than the replacement of boilers in heating systems [9,10]. Nonetheless, there are evident synergies between building envelope performance enhancement and sizing and operation of technical systems [11], even in the case of advanced energy conversion systems [12]. Following this evidence, many research efforts have been concentrated on the definition of methodologies [13] for the determination of cost-optimal levels of energy performance [13] in new and retrofitted buildings [14,15], and the impact of insulation can be extremely relevant in modelling [16]. Clearly, a reasonably robust performance estimate [17] is necessary to evaluate project feasibility. In this sense, uncertainty of energy performance represents an issue in techno-economic assessment methodologies and relevant sources of uncertainty have to be considered to limit as much as possible the "performance gap" [18], or side effects such as "re-bound" [19], "pre-bound" [20], and overheating risk [21]. These effects could potentially undermine the credibility of energy efficiency practices and...

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“…Ting-Chia Ou et al studied the operation and control strategies for a microgrid which used renewable energies and fuel cells as power generators [15]; a technology was developed to improve the transient stability in the hybrid power multi-system [16]. Noussan et al [17] proposed an optimization tool to enhance the operation of a CHP system combined with a heat pump. Zamani-Gargari et al [18] proposed a method which combined the Monte Carlo Simulation (MCS) method to assess the reliability of a wind power system with energy storage.…”

Section: Introductionmentioning

confidence: 99%

Reliability and Maintenance Prioritization Analysis of Combined Cooling, Heating and Power Systems

et al. 2018

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A combined cooling, heating, and power (CCHP) system is a complex and repairable system containing a large number of components and series of subsystems. When a failure occurs in one component, it might cause a failure of a subsystem or whole system. Traditional maintenance methods might lead to the waste of maintenance resources and a high cost of maintenance. The reliability and maintenance prioritization analyses can help managers optimize maintenance strategies and reduce the total cost. A reliability importance index is one of the factors in maintenance prioritization analysis. This paper aims at selecting the component reliability importance indices to identify the priority of component maintenance of a CCHP system from the perspective of maintenance cost. Failure cost importance index (FCI) and Potential failure cost importance index (PI) are developed for the maintenance prioritization analysis of a CCHP system. A Markov model based on the state-space method (SSM) is used to analyze the reliability and availability of a CCHP system. A set of actual survey reliability data of CCHP systems is used to support the validity of the reliability importance indices. The results indicate that the FCI and PI might lead to different rankings of maintenance prioritization. The FCI and PI will help managers make a reasonable decision for maintenance on a cost basis.

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Multicarrier energy systems: Optimization model based on real data and application to a case study

Cited by 18 publications

References 36 publications

Energy and environmental performance of a heat pump in different power grid scenarios

Energy and environmental performance of a heat pump in different power grid scenarios

On the Effects of Variation of Thermal Conductivity in Buildings in the Italian Construction Sector

Reliability and Maintenance Prioritization Analysis of Combined Cooling, Heating and Power Systems

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