A linear programming approach to household energy conservation: Efficient allocation of budget

Üçtuğ, Fehmi Görkem; Yukseltan, Ergun

doi:10.1016/j.enbuild.2012.02.020

Cited by 29 publications

(7 citation statements)

References 23 publications

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“…Many techniques such as MILP [36], DP [37], convex programming (CP) [38], linear programming (LP) [39], ILP [40] and bacterial foraging algorithm (BFA) [41] are used to design an efficient HEMS. However, in some cases, these techniques cannot handle many appliances and their convergence rate is also very slow.…”

Section: Motivation and Problem Descriptionmentioning

confidence: 99%

A Domestic Microgrid with Optimized Home Energy Management System

et al. 2018

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Microgrid is a community-based power generation and distribution system that interconnects smart homes with renewable energy sources (RESs). Microgrid efficiently and economically generates power for electricity consumers and operates in both islanded and grid-connected modes. In this study, we proposed optimization schemes for reducing electricity cost and minimizing peak to average ratio (PAR) with maximum user comfort (UC) in a smart home. We considered a grid-connected microgrid for electricity generation which consists of wind turbine and photovoltaic (PV) panel. First, the problem was mathematically formulated through multiple knapsack problem (MKP) then solved by existing heuristic techniques: grey wolf optimization (GWO), binary particle swarm optimization (BPSO), genetic algorithm (GA) and wind-driven optimization (WDO). Furthermore, we also proposed three hybrid schemes for electric cost and PAR reduction: (1) hybrid of GA and WDO named WDGA; (2) hybrid of WDO and GWO named WDGWO; and (3) WBPSO, which is the hybrid of BPSO and WDO. In addition, a battery bank system (BBS) was also integrated to make our proposed schemes more cost-efficient and reliable, and to ensure stable grid operation. Finally, simulations were performed to verify our proposed schemes. Results show that our proposed scheme efficiently minimizes the electricity cost and PAR. Moreover, our proposed techniques, WDGA, WDGWO and WBPSO, outperform the existing heuristic techniques.

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Section: Motivation and Problem Descriptionmentioning

confidence: 99%

A Domestic Microgrid with Optimized Home Energy Management System

et al. 2018

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“…The particular formulation lends itself for solution via mathematical optimization techniques [5], as well as evolutionary methods like genetic algorithms [6], should the problem complexity become such that a solution via analytic techniques is no longer feasible. Despite the reduced precision compared to the simulation models typically employed for the evaluation of alternative measures [2], the mathematical programmingbased approach has been proved to allow for the realistic comparative evaluation of all the available, alternative measures [7], it has thus been adopted by several researchers in the field (see, e.g., [8][9][10][11][12][13]).…”

Section: Introductionmentioning

confidence: 99%

Improving Energy Efficiency in Buildings Using an Interactive Mathematical Programming Approach

Diakaki

Grigoroudis

2021

Sustainability

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Improving energy efficiency in buildings is a major priority and challenge worldwide. The employed measures vary in nature, and the decision analyst, who is typically the architect, the engineer, or the building expert that has undertaken the task to suggest energy efficient solutions, faces a complex decision problem comprising numerous decision variables and multiple, usually competitive objectives. The solution of such multi-objective problems typically involves some sort of objectives aggregation, which reflects the preferences of the involved final decision maker that is the building’s user, occupant, and/or owner. The preferences elicitation, however, is a difficult task, and this paper aims to provide an interactive framework that will allow their consideration in a relatively easy manner. More specifically, a mathematical programming approach is proposed herein, which allows the elicitation and incorporation of the decision maker’s preferences in the decision model via the assessment of his/her utility function with the assistance of the multicriteria decision aid method UTASTAR. To study the feasibility and efficiency of the proposed approach, the case of a simple building is examined as an application example. The study results suggest that the proposed approach is capable of helping the decision analyst to suggest energy measures that satisfy, as much as possible, the decision maker’s preferences, without having to precisely prescribe them beforehand.

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“…Ruparathna et al achieved a reliable decision criterion, which showed a considerable discrepancy in relation to traditional life-cycle costing. Eskander et al [18] applied an improved method described by Üçtuğ et al [19], based on linear programming, to different representative households located in the centre and north of Portugal to determine the optimal package of energy efficiency measures. Some novelties were added, notably the consideration of a new energy system, the "rebound effect" due to user behaviour once they are aware that their energy bill is lower, and the possibility to calculate the energy saved by installing better insulation and a new energy system at the same time.…”

Section: Introductionmentioning

confidence: 99%

Procedure to select combined heating and hot water systems: An expeditious cost optimality approach

Tadeu

Gonçalves

Simões

et al. 2019

Journal of Building Engineering

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The European Union has proposed a common methodology to identify energy-efficient measures with the minimum global cost throughout the lifecycle. It is known that the energy impact of a specific measure is influenced by other measures in the same package, which affect its profitability. For this reason, the cost-optimal package cannot be a simple combination of individual cost-optimal retrofitting measures. Thus, to define a cost optimal solution, the energy performance and the global cost of a large number of packages need to be calculated and analysed. To overcome the expensive computational effort of this type of study, this work proposes an expeditious procedure for selecting the optimal energy source for heating and domestic hot water (DHW) service generation as a function of the following variables: energy needs and costs, initial investment, primary energy conversion factors and efficiency of energy systems. The method was applied to a reference dwelling in the Portuguese building stock. With the expeditious cost optimality approach, once an energy system configuration has been determined, an estimation of the cost-optimal package can be established as the sum of the most profitable options for each element.

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A linear programming approach to household energy conservation: Efficient allocation of budget

Cited by 29 publications

References 23 publications

A Domestic Microgrid with Optimized Home Energy Management System

A Domestic Microgrid with Optimized Home Energy Management System

Improving Energy Efficiency in Buildings Using an Interactive Mathematical Programming Approach

Procedure to select combined heating and hot water systems: An expeditious cost optimality approach

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