Supervisory Model Predictive Control for Optimal Operation of a Greenhouse Indoor Environment Coping With Food-Energy-Water Nexus

Achour, Yasmine; Ouammi, Ahmed; Zejli, Driss; Sayadi, Sami

doi:10.1109/access.2020.3037222

Cited by 36 publications

(13 citation statements)

References 50 publications

(53 reference statements)

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“…It refers to an employee’s perception of their supervisor’s positive attitude toward them ( Clark et al, 2017 ). Supervisory support could be formal or informal ( Achour et al, 2020 ). It is critical in developing flexible work arrangements ( Suriana et al, 2021 ).…”

Section: Literature Reviewmentioning

confidence: 99%

“…Employees who believe their managers care about their personal and professional lives are more likely to improve their performance and meet supervisory objectives ( Rofcanin et al, 2018 ). In a university-based study, Achour et al (2020) showed how supervisory support positively moderates the relationship between a female academic’s work-family demands and perceived well-being. Kim et al (2017) show that supervisory support can strengthen the relationship between deep acting and job performance, exacerbating the negative relationship between surface acting and job performance.…”

Section: Literature Reviewmentioning

confidence: 99%

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Work-Life Balance, Job Satisfaction, and Job Performance of SMEs Employees: The Moderating Role of Family-Supportive Supervisor Behaviors

et al. 2022

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Even though studies on work-life balance and family-supportive supervisor behaviors are prevalent, there are few studies in the SME setting, and the implications are yet unexplained. Thus, the study examines the effect of work-life balance on the performance of employees in SMEs, along with the mediating role of job satisfaction and the moderating role of family-supportive supervisor behaviors. We have developed a conceptually mediated-moderated model for the nexus of work-life balance and job performance. We collected data from SMEs and employed SEM-PLS to test the research hypothesis and model. Empirical results demonstrate that work-life balance positively influences job satisfaction and performance. Our empirical findings also revealed that job satisfaction partially mediates the relationship between work-life balance and job performance. We also found that when FSSB interacts with work-life balance and job satisfaction, it moderates the relationship between work-life balance and job performance and job satisfaction and job performance. Hence, our findings provide exciting and valuable insights for research and practice.

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Section: Literature Reviewmentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

Work-Life Balance, Job Satisfaction, and Job Performance of SMEs Employees: The Moderating Role of Family-Supportive Supervisor Behaviors

et al. 2022

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“…In reference [65], the authors proposed a MPC strategy to control the air temperature within a greenhouse using a particle swarm optimization algorithm. In reference [66], the authors presented a MPC controller able to maximize the crop photosynthesis acting on the water and energy management, while, in reference [67], the MPC adoption in an irrigation system reduced 30% of the water consumption over a period of three weeks. Serale et al in reference [68], implemented a MPC strategy to control the artificial lighting system to optimize the energy efficiency.…”

Section: Overview In Mpc Methods For Greenhouse Efficiencymentioning

confidence: 99%

Model Predictive Control versus Traditional Relay Control in a High Energy Efficiency Greenhouse

et al. 2021

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The sustainable agriculture cultivation in greenhouses is constantly evolving thanks to new technologies and methodologies able to improve the crop yield and to solve the common concerns which occur in protected environments. In this paper, an MPC-based control system has been realized in order to control the indoor air temperature in a high efficiency greenhouse. The main objective is to determine the optimal control signals related to the water mass flow rate supplied by a heat pump. The MPC model allows a predefined temperature profile to be tracked with an energy saving approach. The MPC has been implemented as a multiobjective optimization model that takes into account the dynamic behavior of the greenhouse in terms of energy and mass balances. The energy supply is provided by a ground coupled heat pump (GCHP) and by the solar radiation while the energy losses related to heat transfers across the glazed envelope. The proposed MPC method was applied in a smart innovative greenhouse located in Italy, and its performances were compared with a traditional reactive control method in terms of deviation of the indoor temperature in respect to the desired one and in terms of electric power consumption. The results demonstrated that, for a time horizon of 20 h, in a greenhouse with dimensions 15.3 and 9.9 m and an average height of 4.5 m, the proposed MPC approach saved about 30% in electric power compared with a relay control, guaranteeing a consistent and reliable temperature profile in respect to the predefined tracked one.

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“…[ 106 ] An MPC for greenhouse indoor environments with FEW nexus consideration has also been developed. [ 107 ] Therefore, models integrating two or three decision levels may be critical to address the holistic nature of planning, scheduling, and control problems in FEW nexus systems.…”

Section: Perspectivesmentioning

confidence: 99%

Integration of planning, scheduling, and control: A review and new perspectives

Andrés‐Martínez

Ricardez‐Sandoval

2022

Can J Chem Eng

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The competitive, profitable, and safe operation of chemical plants depends on tight and effective coordination among the different decision making levels of the enterprise, including planning, scheduling, and control. The optimal integration of these functions has become critical given the disruptive effects of the recent COVID-19 pandemic on the supply chains and the current trends in climate change. However, integrating multiple decision making levels creates modelling and computational challenges. In this study, we review the progress made in the integration of two and three decisions levels using mathematical programming and control theory tools. We highlight the model reduction and decomposition techniques that have been applied, as well as the main issues that remain unsolved. Perspectives on emergent areas of application and novel computing solutions are also discussed.

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Supervisory Model Predictive Control for Optimal Operation of a Greenhouse Indoor Environment Coping With Food-Energy-Water Nexus

Cited by 36 publications

References 50 publications

Work-Life Balance, Job Satisfaction, and Job Performance of SMEs Employees: The Moderating Role of Family-Supportive Supervisor Behaviors

Work-Life Balance, Job Satisfaction, and Job Performance of SMEs Employees: The Moderating Role of Family-Supportive Supervisor Behaviors

Model Predictive Control versus Traditional Relay Control in a High Energy Efficiency Greenhouse

Integration of planning, scheduling, and control: A review and new perspectives

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