Modeling and optimization of a hybrid system for the energy supply of a “Green” building

Dagdougui, Hanane; Minciardi, R.; Ouammi, Ahmed; Robba, Michela; Sacile, Roberto

doi:10.1016/j.enconman.2012.05.017

Cited by 158 publications

(62 citation statements)

References 32 publications

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“…Uncertainty analysis is a vital tool at every planning stage of an experiment, it assesses the viability of the outcomes. However, in this paper we used the approach presented in [38] to analyze the uncertainty of the experimental data according to equation (25). The random error (noise) with an instrument's absolute uncertainty is initialized in the experimental (measured) values.…”

Section: Uncertainty Analysis Of the Experimental Datamentioning

confidence: 99%

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Optimal energy control of grid tied PV–diesel–battery hybrid system powering heat pump water heater

Sichilalu

Xia

2015

Solar Energy

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This paper develops an optimal control strategy for power dispatch of the grid-tied photovoltaic (PV) -battery-diesel system to power heat pump water heaters (HPWH). The system consists of the PV modules, grid, battery, HPWH, diesel generator (DG) and other domestic appliances. The PV can simultaneously feed in the excess power to the grid and supply the loads. The battery is used as storage of cheaper-to-buy off-peak grid energy, dependent on the time-of-use (TOU) electricity tariff, whilst the DG is a backup power source to the HPWH. The objective function of the model is to minimize energy and fuel cost while maximizing PV energy trade-off for incentives. The TOU is an important control parameter in this model. The power flows from each power source are the control variables. The optimal control shows a great potential to realize a practical net zero-energy building and demand side management. This model meets both the technical and operational constraints. A case study is done based on a 3x16kW HPWH installed at a Pretoria hotel in South Africa. Simulations run over a year on selected seasonal dates using the actual measured demand of the HPWH. The optimal control problem is solved using a mixed integer non-linear program and the results show how TOU affects the power dispatch to the HPWH. The energy and cost savings are presented in this paper.

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Section: Uncertainty Analysis Of the Experimental Datamentioning

confidence: 99%

“…The building will be able to generate power to meet its own demand and trade-off to the grid. Various hybrid DREs systems are extensively explained in [21], [22], [23], [24], [25] and [26]. However, most of the success achieved is in the areas of optimal life cycle costing and system sizing.…”

Section: Introductionmentioning

confidence: 99%

Optimal energy control of grid tied PV–diesel–battery hybrid system powering heat pump water heater

Sichilalu

Xia

2015

Solar Energy

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“…Generating electricity from solar PV system helps to control the energy inflation and gives increased autonomy-independence from the grid or backup during power outages. The PV systems can be effectively installed on the roofs of buildings and houses to supply electricity for lighting and to run many appliances [1]. In remote locations, PV systems are more reasonable alternative resource for electrical power generation than erection of long transmission lines to connect with an electrical grid.…”

Section: Introductionmentioning

confidence: 99%

Investigation of High gain MIC power converter for multicrystal PV module employing fuzzy logic technique

Vengatesh¹,

Rajan²

2016

Automatika

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Original scientific paperA Mutual Inductive Coupled (MIC) DC-DC power converter circuit for Photo-Voltaic (PV) system employing fuzzy logic based maximum power point tracking is presented in this research paper. The proposed DC-DC converter has been modelled and simulated using Matlab-simulink environment for obtaining high gain. The mutually coupled inductor uses one core instead of two or more, which reduces size of the converter. A passive regenerative snubber is exploited for absorbing the energy of stray inductance and also the capacitors are charged in parallel and discharged in series through the mutual coupled inductor for achieving high voltage gain of this converter. The voltage gain characteristics of the MIC converter have been studied for various coupling coefficient, turns ratio of two-winding mutual inductor and duty cycle. Moreover, PV system is conveniently interfaced with proposed power converter for maximizing the solar energy yield and analysed by employing Perturb & Observe (P&O) and fuzzy logic based MPPT algorithms under various operating conditions. The obtained results reveal that, the fuzzy controller provides good improvement in tracking of maximum power and helps to extract considerable amount of additional solar energy from a PV module as compared with P&O algorithm.Key words: Photo-Voltaic system, Perturb & Observe algorithm, Mutual -Inductive Core, Fuzzy Logic Control.Istraživanje pretvarača sa spregnutim me uinduktivitetom za više-kristalne fotonaponske sustave s velikim pojačanjem korištenjem neizrazite logike. U ovome radu prikazan je DC-DC pretvarač sa spregnutim me uinduktivitetom (MIC) za fotonaponske (PV) sustave izveden uz praćenje optimalne radne točke korištenjem neizrazite logike. Predloženi DC-DC pretvarač modeliran je i simuliran korištenjem Matlab-simulink okruženja za velika pojačanja. Spregnuti me uinduktivitet koristi jednu jezgru umjesto dvije ili više njih, što umanjuje veličinu pretvarača. Pasivna regenerativna prigušnica je korištena za apsorpciju energije lutajućih struja te su kondenzatori punjeni u paraleli i pražnjeni u seriji kroz spregnuti me uinduktivitet u svrhu ostvarivanja velikog naponskog pojačanja pretvarača. Karakteritike naponskog pojačanja MIC pretvarača su proučavane za različite koeficijente spregnutosti, omjer zakretaja dvostruko namatanih me uinduktiviteta i trajanje ciklusa. Nadalje, PV sustav je prigodno povezan s predloženim pretvaračem za optimiranje doprinosa solarne energije i analiziran korištenjem algoritma perturbiranja & razmatranja (P&O) te MPPT algoritma zasnovanog na neizrazitoj logici za različite uvjete rada. Rezultati prikazuju da neizraziti regulator pruža napredak u praćenju optimalne radne točke i pomaže pri izlučivanju zamjetne količine dodatne solarne energije iz PV modula u usporedbi s P&O algoritmom.

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“…The use of MPC for overall energy management of buildings, where the thermal management is considered as one of many factors, has been analyzed, for instance, in [21]. One of the current trends is to use large-scale models of all the energy sources and the loads in buildings (including, for instance, charging of plug-in hybrid electric vehicles) in order to minimize the overall energy consumption [22][23][24].…”

Section: Introductionmentioning

confidence: 99%

Optimal energy management of a small-size building via hybrid model predictive control

Khakimova

Kusatayeva

Shamshimova

et al. 2017

Energy and Buildings

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This paper presents the design of a Model Predictive Control (MPC) scheme to optimally manage the thermal and electrical subsystems of a small-size building ("smart house"), with the objective of minimizing the expense for buying energy from the grid, while keeping the room temperature within given time-varying bounds. The system, for which an experimental prototype has been built, includes PV panels, solar collectors, a battery pack, an electrical heater in a thermal storage tank, and two pumps on the solar collector and radiator hydraulic circuits. The presence of binary control inputs together with continuous ones naturally leads to using a hybrid dynamical model, and the MPC controller solves a mixed-integer linear program at each sampling instant, relying on weather forecast data for ambient temperature and solar irradiance. The procedure for controller design is reported with focus on the specific application, and the proposed method is successfully tested on the experimental site.

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Modeling and optimization of a hybrid system for the energy supply of a “Green” building

Cited by 158 publications

References 32 publications

Optimal energy control of grid tied PV–diesel–battery hybrid system powering heat pump water heater

Optimal energy control of grid tied PV–diesel–battery hybrid system powering heat pump water heater

Investigation of High gain MIC power converter for multicrystal PV module employing fuzzy logic technique

Optimal energy management of a small-size building via hybrid model predictive control

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