Local Consumption of DG in Multiple Energy Forms for Facility Agriculture with Time-Shifting Loads

Zhou, Luming; Yang, Jianhua; Wang, Weizhou; Liu, Fuchao; Liao, Zhijun

doi:10.1109/ei2.2018.8582630

Cited by 3 publications

(2 citation statements)

References 2 publications

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“…Another vision of using RERs is to reduce the energy costs for agriculture tactical services [9]. The agriculture sector can benefit from natural sources, such as rivers, wind, and solar to produce electricity [10], since they are mostly located in natural areas. However, before the implementation of any model, theoretical and practical validation phases are required to reveal the problems.…”

Section: Introductionmentioning

confidence: 99%

Emulation of Energy Scheduling for an Agriculture Irrigation System Considering Field Data

Abrishambaf

Faria

Vale

2020

2020 IEEE International Conference on Environment and Electrical Engineering and 2020 IEEE Industrial and Commercial Power Syst

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As the global population is daily soaring, the need for water and energy is also increasing. This makes the role of the agriculture sector more tangible. Water and energy efficiency in this sector is still very low, and the need for smart management and strategic planning are obvious. This paper proposes an autonomous approach to increase the efficiency of energy and water consumption in the agriculture irrigation process. The model contains local renewable energy resources to supply the irrigation electricity demand. In the previous works developed by the authors, the irrigation scheduling had been performed by a decision tree approach. however, in this paper, the model schedules irrigation according to the real-time field data as well as the availability of the local resources to minimize operational costs. The system also includes a laboratory demonstration to test the scheduling process under practical challenges. A case study is also shown to validate the model, and its results show a gap between expected and real results. Nevertheless, the results proved the functionality and applicability of the proposed model.

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Section: Introductionmentioning

confidence: 99%

Emulation of Energy Scheduling for an Agriculture Irrigation System Considering Field Data

Abrishambaf

Faria

Vale

2020

2020 IEEE International Conference on Environment and Electrical Engineering and 2020 IEEE Industrial and Commercial Power Syst

View full text Add to dashboard Cite

show abstract

“…More specifically, in the agriculture industry, the energy demand for tactical services, namely, irrigation and water pumping, can be supplied by RERs instead of non-renewable sources [10]. Current agriculture systems should all employ RERs to become environmentally friendly and cost-effective [12,13].…”

Section: Introductionmentioning

confidence: 99%

Energy Scheduling Using Decision Trees and Emulation: Agriculture Irrigation with Run-of-the-River Hydroelectricity and a PV Case Study

et al. 2019

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Agriculture is the very backbone of every country. Unfortunately, agricultural sustainability is threatened by the lack of energy-efficient solutions. The threat becomes more evident with the constantly growing world population. The research community must, therefore, focus on resolving the problem of high energy consumption. This paper proposes a model of energy scheduling in agricultural contexts. Greater energy efficiency is achieved by means of PV (photovoltaics) and hydropower, as demonstrated in the conducted case study. The developed model is intended for contexts where the farm is located near a river, so the farmer can use the flowing water to produce energy. Moreover, the model has been emulated using a variety of state-of-the-art laboratory devices. Optimal energy scheduling is performed via a decision tree approach, optimizing the use of energy resources and reducing electricity costs. Finally, a realistic scenario is presented to show the technical features and the practical behaviors of each emulator when adapting the results of the decision tree. The research outcomes demonstrate the importance of the technical validation of each model. In addition, the results of the emulation reveal practical issues that had not been discovered during the theoretical study or during the simulation.

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Laboratory Emulation of Energy Scheduling in an Agriculture System

Abrishambaf

Faria

Vale

2020

2020 IEEE/PES Transmission and Distribution Conference and Exposition (T&D)

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Local Consumption of DG in Multiple Energy Forms for Facility Agriculture with Time-Shifting Loads

Cited by 3 publications

References 2 publications

Emulation of Energy Scheduling for an Agriculture Irrigation System Considering Field Data

Emulation of Energy Scheduling for an Agriculture Irrigation System Considering Field Data

Energy Scheduling Using Decision Trees and Emulation: Agriculture Irrigation with Run-of-the-River Hydroelectricity and a PV Case Study

Laboratory Emulation of Energy Scheduling in an Agriculture System

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