scholarly journals Assessing, Benchmarking and Analyzing Heating and Cooling Requirements for Glasshouse Food Production: A Design and Operation Modelling Framework

2017 ◽  
Vol 123 ◽  
pp. 164-172 ◽  
Author(s):  
Solomos Georgiou ◽  
Salvador Acha ◽  
Nilay Shah ◽  
Christos N. Markides
Keyword(s):  
Food Production ◽  
Modelling Framework ◽  
Heating And Cooling

scholarly journals Life cycle inventory modelling framework for symbiotic and distributed agricultural food production systems

Procedia CIRP ◽  
2020 ◽  
Vol 90 ◽  
pp. 256-261 ◽  
Author(s):  
Lennart Büth ◽  
Max Juraschek ◽  
Felipe Cerdas ◽  
Christoph Herrmann
Keyword(s):  
Life Cycle ◽  
Life Cycle Inventory ◽  
Food Production ◽  
Production Systems ◽  
Modelling Framework ◽  
Agricultural Food

scholarly journals Photovoltaic Greenhouses: Comparison of Optical and Thermal Behaviour for Energy Savings

2012 ◽  
Vol 2012 ◽  
pp. 1-10 ◽  
Author(s):  
Maurizio Carlini ◽  
Tommaso Honorati ◽  
Sonia Castellucci
Keyword(s):  
Food Production ◽  
Energy Savings ◽  
Climatic Parameters ◽  
Local Climate ◽  
Heating And Cooling ◽  
Productive Activities ◽  
Solar Greenhouse ◽  
Climate Exposure ◽  
Cultivated Plant ◽  
Computational Aspects

The production of energy from renewable sources, the diversification of the productive activities, and the development of photovoltaic technology and integrated systems have led to the development of solar greenhouses. The interest of the developers and designers is now to seek new approaches to combine the electricity and food production optimally. The interaction of factors as outside local climate, exposure, slope, soil, altitude, wind conditions, structural materials, or cultivated plant species, influences greatly the energy balance. This paper illustrates the comparison of optical and thermal behavior of a solar greenhouse and a similar glass greenhouse, devoted to the production of soil-less tomatoes in three different Italian areas, with computational aspects and methods of the TRNSYS simulation. Values of climatic parameters are obtained as a responce for the feasibility of the cultivation under PV modules. The results show energy savings both for heating and cooling due to PV panels, adding a new reason for the realization of these systems.

scholarly journals Assessing the cascading impacts of natural disasters in a multi-layer behavioral network framework

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Asjad Naqvi ◽  
Irene Monasterolo
Keyword(s):  
Natural Disasters ◽  
Food Production ◽  
Temporal Evolution ◽  
Research Question ◽  
Spatially Explicit ◽  
Supply Side ◽  
Consumption Decisions ◽  
Modelling Framework ◽  
Open Research ◽  
Climate Shocks

AbstractNatural disasters negatively impact regions and exacerbate socioeconomic vulnerabilities. While the direct impacts of natural disasters are well understood, the channels through which these shocks spread to non-affected regions, still represents an open research question. In this paper we propose modelling socioeconomic systems as spatially-explicit, multi-layer behavioral networks, where the interplay of supply-side production, and demand-side consumption decisions, can help us understand how climate shocks cascade. We apply this modelling framework to analyze the spatial-temporal evolution of vulnerability following a negative food-production shock in one part of an agriculture-dependent economy. Simulation results show that vulnerability is cyclical, and its distribution critically depends on the network density and distance from the epicenter of the shock. We also introduce a new multi-layer measure, the Vulnerability Rank (VRank), which synthesizes various location-level risks into a single index. This framework can help design policies, aimed to better understand, effectively respond, and build resilience to natural disasters. This is particularly important for poorer regions, where response time is critical and financial resources are limited.

Data-driven modelling of potential trajectories of the global water-energy-food nexus system

2020 ◽  
Author(s):  
Sara Masia ◽  
Janez Susnik
Keyword(s):  
Food Production ◽  
Electricity Consumption ◽  
Causal Analysis ◽  
Climate Impacts ◽  
Water Withdrawal ◽  
Electricity Production ◽  
Gdp Growth ◽  
Modelling Framework ◽  
Future System ◽  
Global Water

<p>There is increasing interest in the global water-energy-food (WEF) system and potential future system trajectories under global change, especially considering growing concerns over resource exploitation and sustainability. Previous studies investigating different aspects of this system have a number of shortcomings including not analysing all nexus sectors and/or not accounting for possible feedback between sectors, meaning it is difficult to identify system-wide tradeoffs, and makes comparison difficult. A global analysis of the WEF system linked to changes in potential gross domestic product (GDP) growth is presented, integrating the four sectors (water-energy-food-GDP) into a coherent analysis and modelling framework. GDP was included as previous related work demonstrates a link between GDP and each WEF sector. A system dynamics modelling approach quantifies previously qualitative descriptions of the global WEF-GDP system, while a Monte-Carlo sampling approach is adopted to characterise variability in resource use and growth at the global level. Correlative and causal analysis show links of varying strength between sectors. For example, the GDP-electricity consumption sectors are strongly correlated while food production and electricity consumption are weakly correlated. Causal analysis reveals that ‘correlation does not imply causation’. There are noticeable asymmetries in causality between certain sectors. Historical WEF-GDP values are well recreated with the exception of electricity production/consumption. Future scenarios were assessed using seven GDP growth estimates to 2100. Water withdrawals in 2100 and food production in 2050 are close to other literature estimations arrived at using very different means. Results suggest that humanity risks exceeding the ‘safe operating space’ for water withdrawal. Reducing water withdrawal while maintaining or increasing food production is critical, and should be decoupled from economic growth. Electricity production/consumption is also expected to grow, with the strength of growth linked to GDP pathways. Climate impacts of the production and consumption will depend greatly on the fuel source for the generation of power. This work provides a quantitative modelling framework to previously qualitative descriptions of the WEF-GDP system, offering a platform on which to build.</p>

A Measurement Modelling Framework for Complex Working Memory Models

2011 ◽  
Author(s):  
Klaus Oberauer ◽  
Jarrold Chris ◽  
Farrell Simon ◽  
Lewandowsky Stephan
Keyword(s):  
Working Memory ◽  
Memory Models ◽  
Modelling Framework ◽  
Working Memory Models

‘Flexible’ system makes pet food production easy

1984 ◽  
Vol 63 (8) ◽  
pp. 23
Author(s):  
Stephen Margolis
Keyword(s):  
Food Production ◽  
Pet Food ◽  
Flexible System

Exergoeconomic analysis of renewable multi-generation system

2020 ◽  
pp. 99-111
Author(s):  
Vontas Alfenny Nahan ◽  
Audrius Bagdanavicius ◽  
Andrew McMullan
Keyword(s):  
Capital Investment ◽  
Combined Cycle ◽  
Asian Countries ◽  
Generation System ◽  
Integrated Gasification Combined Cycle ◽  
Heating And Cooling ◽  
Integrated Gasification ◽  
Exergoeconomic Analysis ◽  
Main Components ◽  
The Cost

In this study a new multi-generation system which generates power (electricity), thermal energy (heating and cooling) and ash for agricultural needs has been developed and analysed. The system consists of a Biomass Integrated Gasification Combined Cycle (BIGCC) and an absorption chiller system. The system generates about 3.4 MW electricity, 4.9 MW of heat, 88 kW of cooling and 90 kg/h of ash. The multi-generation system has been modelled using Cycle Tempo and EES. Energy, exergy and exergoeconomic analysis of this system had been conducted and exergy costs have been calculated. The exergoeconomic study shows that gasifier, combustor, and Heat Recovery Steam Generator are the main components where the total cost rates are the highest. Exergoeconomic variables such as relative cost difference (r) and exergoeconomic factor (f) have also been calculated. Exergoeconomic factor of evaporator, combustor and condenser are 1.3%, 0.7% and 0.9%, respectively, which is considered very low, indicates that the capital cost rates are much lower than the exergy destruction cost rates. It implies that the improvement of these components could be achieved by increasing the capital investment. The exergy cost of electricity produced in the gas turbine and steam turbine is 0.1050 £/kWh and 0.1627 £/kWh, respectively. The cost of ash is 0.0031 £/kg. In some Asian countries, such as Indonesia, ash could be used as fertilizer for agriculture. Heat exergy cost is 0.0619 £/kWh for gasifier and 0.3972 £/kWh for condenser in the BIGCC system. In the AC system, the exergy cost of the heat in the condenser and absorber is about 0.2956 £/kWh and 0.5636 £/kWh, respectively. The exergy cost of cooling in the AC system is 0.4706 £/kWh. This study shows that exergoeconomic analysis is powerful tool for assessing the costs of products.

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