Fuzzy logic based economical analysis of photovoltaic energy management

Ciabattoni, Lucio; Ferracuti, Francesco; Grisostomi, Massimo; Ippoliti, Gianluca; Longhi, Sauro

doi:10.1016/j.neucom.2015.01.086

Cited by 44 publications

(20 citation statements)

References 30 publications

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“…Considering E cost its value is 0.16. Finding the value of appliance utility function (Equation (31)), we find average delay (D avg ) by Equation (30). It can be observed that average delay is 3 h considering BPSO scheduling.…”

Section: User Comfort Achievedmentioning

confidence: 99%

“…To analyze investment benefits, there is a widely accepted financial valuation technique, i.e., Cost Benefit Analysis (CBA). The authors in [30] use Equation (33) to calculate Net Present Worth (NPW).…”

Section: Installation Costs and Financial Benefitsmentioning

confidence: 99%

“…[30] gives a brief overview of CBA regarding PV system ranging from 1KW to 3.50KW. PV module producers grantees 85% of the initial performance for 20 years, with a derating factor of 0.5% per year for initial 8 years while 1.0% for next 12 years.…”

Section: Installation Costs and Financial Benefitsmentioning

confidence: 99%

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Realistic Scheduling Mechanism for Smart Homes

et al. 2016

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Abstract:In this work, we propose a Realistic Scheduling Mechanism (RSM) to reduce user frustration and enhance appliance utility by classifying appliances with respective constraints and their time of use effectively. Algorithms are proposed regarding functioning of home appliances. A 24 hour time slot is divided into four logical sub-time slots, each composed of 360 min or 6 h. In these sub-time slots, only desired appliances (with respect to appliance classification) are scheduled to raise appliance utility, restricting power consumption by a dynamically modelled power usage limiter that does not only take the electricity consumer into account but also the electricity supplier. Once appliance, time and power usage limiter modelling is done, we use a nature-inspired heuristic algorithm, Binary Particle Swarm Optimization (BPSO), optimally to form schedules with given constraints representing each sub-time slot. These schedules tend to achieve an equilibrium amongst appliance utility and cost effectiveness. For validation of the proposed RSM, we provide a comparative analysis amongst unscheduled electrical load usage, scheduled directly by BPSO and RSM, reflecting user comfort, which is based upon cost effectiveness and appliance utility.

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Section: User Comfort Achievedmentioning

confidence: 99%

Section: Installation Costs and Financial Benefitsmentioning

confidence: 99%

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Realistic Scheduling Mechanism for Smart Homes

et al. 2016

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“…Ciabattoni et al [39] and Ciabattoni et al [40] presented a high-resolution model of domestic electricity use. The model is based on a fuzzy logic inference system.…”

Section: Fuzzy Benefit-cost Analysismentioning

confidence: 99%

A Comparison of Wind Energy Investment Alternatives Using Interval-Valued Intuitionistic Fuzzy Benefit/Cost Analysis

2016

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Abstract:One of the tools for maintaining environmental sustainability is transformation from fossil-based energy sources to renewable energy sources in energy consumption. Among renewable energy alternatives, wind energy is the most prominent and reliable energy source for fulfilling energy demand. Traditional investment evaluation techniques based on discounted cash flows are not capable of capturing the uncertainty and vagueness in the data related to the wind energy investment parameters. Fuzzy capital budgeting techniques can capture this vagueness and model the imprecise estimations of parameter values. In this paper, we develop interval-valued intuitionistic fuzzy benefit-cost analysis for the evaluation of wind energy technology investments. The fuzzy benefit-cost analyses are based on both present worth and annual worth analyses. The developed analyses can handle the assessments of multiple experts through aggregation operators. In the proposed economic model, the components of each wind energy investment parameter are incorporated into the equations in detail. A real case study is also presented in this paper.

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“…We provided a detailed and complete evaluation list of economic, social, environmental and technical criteria to evaluate the DSM effects. (2) The fuzzy AHP and the fuzzy TOPSIS methods have been employed in many research fields [28][29][30][31][32] and have good effects in decision-making procedures of alternatives evaluation. As we know, this is a hybrid MCDM model based on combining the fuzzy AHP weight method with the fuzzy TOPSIS approach.…”

Section: Fuzzy Set Theory and Fuzzy Numbersmentioning

confidence: 99%

Demand Side Management Performance Evaluation for Commercial Enterprises

2016

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Demand Side Management in power systems plays an important role in ensuring a reliable power supply and protecting the environment. Demand Side Management in the commercial sector is vital for sustainable development during China's industrial restructuring. A hybrid multi-criteria decision making framework for evaluating Demand Side Management performance of commercial enterprises is proposed from a sustainability perspective. A fuzzy Analytic Hierarchy Process is employed to determine the weights of the criteria and a fuzzy technique for order preference by similarity to an ideal solution is applied to rank Demand Side Management performance. An evaluation index system is built, containing economic, social, environmental and technical criteria associated with 15 sub-criteria. Four groups of expert panels from government departments, research institutions, electricity utilities and commercial enterprises gave judgments on criteria weights and criteria performances for alternatives. The effectiveness of the proposed hybrid framework was demonstrated through a case study in Beijing, in which Demand Side Management performances of four alternatives were ranked. Sensitivity analysis results indicate that the hybrid framework is robust.

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Fuzzy logic based economical analysis of photovoltaic energy management

Cited by 44 publications

References 30 publications

Realistic Scheduling Mechanism for Smart Homes

Realistic Scheduling Mechanism for Smart Homes

A Comparison of Wind Energy Investment Alternatives Using Interval-Valued Intuitionistic Fuzzy Benefit/Cost Analysis

Demand Side Management Performance Evaluation for Commercial Enterprises

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