Receding Horizon Control of Naturally Ventilated Greenhouse with Rooftop Wind Turbine

Rahul Singhal; Rajesh Kumar; Satyanarayana Neeli

doi:10.1109/CETIC4.2018.8530882

Receding Horizon Control of Naturally Ventilated Greenhouse with Rooftop Wind Turbine

Rahul Singhal, Rajesh Kumar, Satyanarayana Neeli

Malaviya National Institute of Technology

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Citation (Scopus)

Abstract

Cooling efficiency of self-sustained naturally ventilated greenhouse extensively depends on the outside temperature and wind speed which occasionally results in overshoot while maintaining the desired temperature. To enhances the cooling capabilities numerically simulated rooftop wind turbine is integrated with the greenhouse temperature model. Its effectiveness depends on the outside wind speed. Receding Horizon Control (RHC) was implemented as the temperature control strategy for drawing comparison amongst the greenhouse temperature model and integrated rooftop wind turbine greenhouse temperature model for the same external environment. Results obtained using integrated rooftop wind turbine greenhouse model had the reduced height of overshoot in temperature as the clear indication of higher cooling capacity over the greenhouse model and also demonstrated considerable reduction in energy consumption.

Original language	English
Title of host publication	2018 International CET Conference on Control, Communication, and Computing, IC4 2018
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	122-127
Number of pages	6
ISBN (Electronic)	9781538649664
DOIs	https://doi.org/10.1109/CETIC4.2018.8530882
Publication status	Published - 9 Nov 2018
Externally published	Yes
Event	2018 International CET Conference on Control, Communication, and Computing, IC4 2018 - Thiruvananthapuram, India Duration: 5 Jul 2018 → 7 Jul 2018

Publication series

Name	2018 International CET Conference on Control, Communication, and Computing, IC4 2018

Conference

Conference	2018 International CET Conference on Control, Communication, and Computing, IC4 2018
Country/Territory	India
City	Thiruvananthapuram
Period	5/07/18 → 7/07/18

Keywords

Greenhouse temperature control
Grey Wolf optimization
Particle swarm optimization
Receding horizon control
Rooftop wind turbine

ASJC Scopus subject areas

Computer Networks and Communications
Computer Science Applications
Aerospace Engineering
Automotive Engineering
Mechanical Engineering
Control and Optimization
Health Informatics

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1109/CETIC4.2018.8530882

Cite this

Singhal, R., Kumar, R., & Neeli, S. (2018). Receding Horizon Control of Naturally Ventilated Greenhouse with Rooftop Wind Turbine. In 2018 International CET Conference on Control, Communication, and Computing, IC4 2018 (pp. 122-127). Article 8530882 (2018 International CET Conference on Control, Communication, and Computing, IC4 2018). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CETIC4.2018.8530882

Singhal, Rahul ; Kumar, Rajesh ; Neeli, Satyanarayana. / Receding Horizon Control of Naturally Ventilated Greenhouse with Rooftop Wind Turbine. 2018 International CET Conference on Control, Communication, and Computing, IC4 2018. Institute of Electrical and Electronics Engineers Inc., 2018. pp. 122-127 (2018 International CET Conference on Control, Communication, and Computing, IC4 2018).

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title = "Receding Horizon Control of Naturally Ventilated Greenhouse with Rooftop Wind Turbine",

abstract = "Cooling efficiency of self-sustained naturally ventilated greenhouse extensively depends on the outside temperature and wind speed which occasionally results in overshoot while maintaining the desired temperature. To enhances the cooling capabilities numerically simulated rooftop wind turbine is integrated with the greenhouse temperature model. Its effectiveness depends on the outside wind speed. Receding Horizon Control (RHC) was implemented as the temperature control strategy for drawing comparison amongst the greenhouse temperature model and integrated rooftop wind turbine greenhouse temperature model for the same external environment. Results obtained using integrated rooftop wind turbine greenhouse model had the reduced height of overshoot in temperature as the clear indication of higher cooling capacity over the greenhouse model and also demonstrated considerable reduction in energy consumption.",

keywords = "Greenhouse temperature control, Grey Wolf optimization, Particle swarm optimization, Receding horizon control, Rooftop wind turbine",

author = "Rahul Singhal and Rajesh Kumar and Satyanarayana Neeli",

note = "Publisher Copyright: {\textcopyright} 2018 IEEE.; 2018 International CET Conference on Control, Communication, and Computing, IC4 2018 ; Conference date: 05-07-2018 Through 07-07-2018",

year = "2018",

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doi = "10.1109/CETIC4.2018.8530882",

language = "English",

series = "2018 International CET Conference on Control, Communication, and Computing, IC4 2018",

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Singhal, R, Kumar, R & Neeli, S 2018, Receding Horizon Control of Naturally Ventilated Greenhouse with Rooftop Wind Turbine. in 2018 International CET Conference on Control, Communication, and Computing, IC4 2018., 8530882, 2018 International CET Conference on Control, Communication, and Computing, IC4 2018, Institute of Electrical and Electronics Engineers Inc., pp. 122-127, 2018 International CET Conference on Control, Communication, and Computing, IC4 2018, Thiruvananthapuram, India, 5/07/18. https://doi.org/10.1109/CETIC4.2018.8530882

Receding Horizon Control of Naturally Ventilated Greenhouse with Rooftop Wind Turbine. / Singhal, Rahul; Kumar, Rajesh; Neeli, Satyanarayana.
2018 International CET Conference on Control, Communication, and Computing, IC4 2018. Institute of Electrical and Electronics Engineers Inc., 2018. p. 122-127 8530882 (2018 International CET Conference on Control, Communication, and Computing, IC4 2018).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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T1 - Receding Horizon Control of Naturally Ventilated Greenhouse with Rooftop Wind Turbine

AU - Singhal, Rahul

AU - Kumar, Rajesh

AU - Neeli, Satyanarayana

PY - 2018/11/9

Y1 - 2018/11/9

N2 - Cooling efficiency of self-sustained naturally ventilated greenhouse extensively depends on the outside temperature and wind speed which occasionally results in overshoot while maintaining the desired temperature. To enhances the cooling capabilities numerically simulated rooftop wind turbine is integrated with the greenhouse temperature model. Its effectiveness depends on the outside wind speed. Receding Horizon Control (RHC) was implemented as the temperature control strategy for drawing comparison amongst the greenhouse temperature model and integrated rooftop wind turbine greenhouse temperature model for the same external environment. Results obtained using integrated rooftop wind turbine greenhouse model had the reduced height of overshoot in temperature as the clear indication of higher cooling capacity over the greenhouse model and also demonstrated considerable reduction in energy consumption.

AB - Cooling efficiency of self-sustained naturally ventilated greenhouse extensively depends on the outside temperature and wind speed which occasionally results in overshoot while maintaining the desired temperature. To enhances the cooling capabilities numerically simulated rooftop wind turbine is integrated with the greenhouse temperature model. Its effectiveness depends on the outside wind speed. Receding Horizon Control (RHC) was implemented as the temperature control strategy for drawing comparison amongst the greenhouse temperature model and integrated rooftop wind turbine greenhouse temperature model for the same external environment. Results obtained using integrated rooftop wind turbine greenhouse model had the reduced height of overshoot in temperature as the clear indication of higher cooling capacity over the greenhouse model and also demonstrated considerable reduction in energy consumption.

KW - Greenhouse temperature control

KW - Grey Wolf optimization

KW - Particle swarm optimization

KW - Receding horizon control

KW - Rooftop wind turbine

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BT - 2018 International CET Conference on Control, Communication, and Computing, IC4 2018

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Singhal R, Kumar R, Neeli S. Receding Horizon Control of Naturally Ventilated Greenhouse with Rooftop Wind Turbine. In 2018 International CET Conference on Control, Communication, and Computing, IC4 2018. Institute of Electrical and Electronics Engineers Inc. 2018. p. 122-127. 8530882. (2018 International CET Conference on Control, Communication, and Computing, IC4 2018). doi: 10.1109/CETIC4.2018.8530882

Receding Horizon Control of Naturally Ventilated Greenhouse with Rooftop Wind Turbine

Abstract

Publication series

Conference

Keywords

ASJC Scopus subject areas

UN SDGs

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