Survey-based analysis of the electrical energy demand in Italian households

Caldera, Matteo; Ungaro, Paola; Cammarata, Guiliano; Puglisi, Giovanni

doi:10.18280/mmep.050313

Cited by 34 publications

(30 citation statements)

References 3 publications

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“…To analyze how the Lh extra consumption is covered by the electricity national grid, a bid stack model (BISM), developed at University of Genoa, is used to perform an hourly simulation of the electricity market, determining market price, plants generation and fuel consumption. BISM has already been validated for 2015 [17], so Lh values are added to real historical values of electricity hourly consumption EL:…”

Section: Power Market Model Share Of Switching and Impact On The Elementioning

confidence: 99%

“…Indeed, the above-mentioned papers involve industrial solutions with a lot of examples of heat recovery where heat pump applications are relevant. In Italy, Caldera et alii proposed a survey-based analysis of the electrical energy demand in Italian households where the numerical model allows allocating the electrical energy consumption for each end-use, in order to obtain a reliable estimation of the households' habits in the residential sector and propose efficiency scenarios [17].…”

Section: Introductionmentioning

confidence: 99%

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Effect on the energy market of the potential switching to heat pumps for space heating

Alla¹,

Bianco²,

Tagliafico³

et al. 2018

MMC_C

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The main subject of this work is to understand what could happen in the Italian electricity market if a given share of building heating demand had switched from gas to electricity heating devices. The objective is to define the optimal share to switch in terms of minimization of environmental (CO2) emissions. The effects of such switching on the national energy system are analyzed from the financial point of view, depending also on the heating habits of final users. An hourly simulation of the electricity market has been performed by means of a bid stack model (BIDSM) developed at University of Genoa, calculating market prices, power plant generation typology, fuel consumption and global CO2 emissions. All the data are averaged on a national basis and results are reported for two different time schedule of heating requirements of the final users. In each case, the total energy consumption is fixed, and local "degree days" and location energy needs are considered. It seems that the use of heat pumps for building heating is a real option and that the user habits has a little impact on optimal share of switching from gas to heat pumps, at least concerning CO2 emission minimization.

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Section: Power Market Model Share Of Switching and Impact On The Elementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Effect on the energy market of the potential switching to heat pumps for space heating

Alla¹,

Bianco²,

Tagliafico³

et al. 2018

MMC_C

View full text Add to dashboard Cite

show abstract

“…However, many scientific difficulties are found while solving problem due to an assortment of constraints. Evolutionary techniques [7][8][9][10][11][12][13][14][15][16][17] are applied to solve the reactive power and optimization problems. This paper proposes Rock Dove (RD) optimization algorithm and Fuligo Septica Optimization (FSO) algorithm for real power loss reduction.…”

Section: Introductionmentioning

confidence: 99%

Real Power Loss Reduction by Rock Dove Optimization and Fuligo Septica Optimization Algorithms

Lenin

2020

JES

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This paper aims to use the Rock Dove (RD) optimization algorithm and the Fuligo Septica optimization (FSO) algorithm for power loss reduction. Rock Dove towards a particular place is based on the familiar (sight) objects on the traveling directions. In the formulation of the RD algorithm, atlas and range operator, and familiar sight operators have been defined and modeled. Every generation number of Rock Dove is reduced to half in the familiar sight operator and Rock Dove segment, which hold the low fitness value that occupying the lower half of the generation will be discarded. Because it is implicit that the individual’s Rock Dove is unknown with familiar sights and very far from the destination place, a few Rock Doves will be at the center of the iteration. Each Rock Dove can fly towards the final target place. Then in this work, the FSO algorithm is designed for real power loss reduction. The natural vacillation mode of Fuligo Septica has been imitated to develop the algorithm. Fuligo Septica connects the food through swinging action and possesses exploration and exploitation capabilities. Fuligo Septica naturally lives in chilly and moist conditions. Mainly the organic matter in the Fuligo Septica will search for the food and enzymes formed will digest the food. In the movement of Fuligo Septica it will spread like a venous network, and cytoplasm will flow inside the Fuligo Septica in all ends. THE proposed RD optimization algorithm and FSO algorithm have been tested in IEEE 14, 30, 57, 118, and 300 bus test systems and simulation results show the projected RD and FSO algorithm reduced the real power loss. Keywords: optimal reactive power, transmission loss, Rock Dove, Fuligo Septica.

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“…Nevertheless numerous scientific difficulties are found while solving problem due to an assortment of constraints. Evolutionary techniques [9][10][11][12][13][14][15][16][17][18][19][20][21] are applied to solve the reactive power problem. In this paper Chemical Reaction Optimization (CRO) algorithm is proposed to solve the optimal reactive power Problem.…”

Section: Introductionmentioning

confidence: 99%

True Power Loss Reduction by Chemical Reaction Optimization Algorithm

Lenin¹

2019

EJEE

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In this paper Chemical Reaction Optimization (CRO) algorithm is proposed to solve the optimal reactive power problem. Molecules are encoded as candidate solution in the projected algorithm. Molecular structure (φ), potential energy (PY), kinetic energy (KE) and numerous crucial properties possessed by the Chemical Reaction Optimization (CRO) algorithm. With minimal potential energy (PE) reactants are leaning to unwavering product. Gaussian perturbations with reflection, half-total change, laws of conservation of energy are form as the prime operators in the Chemical Reaction Optimization (CRO) algorithm. In the evolution of the algorithm structure manage the least potential energy (PE). Potential energy (PE) is kept as the objective function of the analogous solution. Projected Chemical Reaction Optimization (CRO) algorithm has been tested in standard IEEE 14, 57, 300 bus systems. Simulation results indicate the better performance of the proposed algorithm in reducing the real power loss.

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Survey-based analysis of the electrical energy demand in Italian households

Cited by 34 publications

References 3 publications

Effect on the energy market of the potential switching to heat pumps for space heating

Effect on the energy market of the potential switching to heat pumps for space heating

Real Power Loss Reduction by Rock Dove Optimization and Fuligo Septica Optimization Algorithms

True Power Loss Reduction by Chemical Reaction Optimization Algorithm

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