Energy analysis for faba bean production: A case study in Golestan province, Iran

2015 ◽  
Vol 3 ◽  
pp. 15-20 ◽  
Author(s):  
Hossein Kazemi ◽  
Malihe Shahbyki ◽  
Sepideh Baghbani
Keyword(s):  
Faba Bean ◽  
Energy Analysis ◽  
Golestan Province

scholarly journals Integration of Emergy Analysis with Building Information Modeling

2021 ◽  
Vol 13 (14) ◽  
pp. 7990
Author(s):  
Suman Paneru ◽  
Forough Foroutan Jahromi ◽  
Mohsen Hatami ◽  
Wilfred Roudebush ◽  
Idris Jeelani
Keyword(s):  
Life Cycle ◽  
Building Materials ◽  
Building Information Modeling ◽  
Energy Analysis ◽  
Information Modeling ◽  
Environmental Cost ◽  
Emergy Analysis ◽  
Modeling Tools ◽  
Building Information

Traditional energy analysis in Building Information Modeling (BIM) only accounts for the energy requirements of building operations during a portion of the occupancy phase of the building’s life cycle and as such is unable to quantify the true impact of buildings on the environment. Specifically, the typical energy analysis in BIM does not account for the energy associated with resource formation, recycling, and demolition. Therefore, a comprehensive method is required to analyze the true environmental impact of buildings. Emergy analysis can offer a holistic approach to account for the environmental cost of activities involved in building construction and operation in all its life cycle phases from resource formation to demolition. As such, the integration of emergy analysis with BIM can result in the development of a holistic sustainability performance tool. Therefore, this study aimed at developing a comprehensive framework for the integration of emergy analysis with existing Building Information Modeling tools. The proposed framework was validated using a case study involving a test building element of 8’ × 8’ composite wall. The case study demonstrated the successful integration of emergy analysis with Revit®2021 using the inbuilt features of Revit and external tools such as MS Excel. The framework developed in this study will help in accurately determining the environmental cost of the buildings, which will help in selecting environment-friendly building materials and systems. In addition, the integration of emergy into BIM will allow a comparison of various built environment alternatives enabling designers to make sustainable decisions during the design phase.

scholarly journals Life-cycle energy analysis of buildings: a case study

2000 ◽  
Vol 28 (1) ◽  
pp. 31-41 ◽  
Author(s):  
Roger Fay ◽  
Graham Treloar ◽  
Usha Iyer-Raniga
Keyword(s):  
Life Cycle ◽  
Energy Analysis ◽  
Life Cycle Energy Analysis

Dynamic energy analysis to assess maximum growth rates in developing power generation capacity: case study of India

Energy Policy ◽  
2004 ◽  
Vol 32 (2) ◽  
pp. 281-287 ◽  
Author(s):  
Jyotirmay Mathur ◽  
Narendra Kumar Bansal ◽  
Hermann-Joseph Wagner
Keyword(s):  
Power Generation ◽  
Growth Rates ◽  
Energy Analysis ◽  
Maximum Growth ◽  
Generation Capacity

scholarly journals Energy and Greenhouse Gases Balances of Cotton Farming in Iran: A Case Study

2018 ◽  
Vol 66 (1) ◽  
pp. 101-109 ◽  
Author(s):  
Moslem Sami ◽  
Habib Reyhani
Keyword(s):  
Total Energy ◽  
Ghg Emissions ◽  
Energy Output ◽  
Consumption Pattern ◽  
Cotton Production ◽  
Energy Productivity ◽  
Energy Inputs ◽  
Golestan Province ◽  
Ratio Energy

This study evaluated the impacts of cotton farming on the climate changes in terms of energy and greenhouse gas (GHG) emission indices. Energy consumption pattern and sensitivity of energy inputs were evaluated and share of each input in GHG emissions was determined in the form of direct and indirect emissions for cotton farms in Golestan province of Iran. The total energy input and energy output were calculated to be 34,424.19 and 41,496.67 MJ/ha respectively. The share of fertilizers by 45.0 % of total energy inputs was the highest. This was followed by energies of fuel (18.4 %) and irrigation (17.9 %) respectively. Fertilizers and fuels were also the biggest producers of GHGs in the farms with shares of 61.95 and 24.32 % of total GHGs emission. Energy ratio, energy balance, energy intensity and energy productivity were found as 1.21, 7,072.48 MJ/ha, 9.79 MJ/kg and 0.10 kg/MJ, respectively. Results of sensitivity analysis indicated that the cotton production was more sensitive to energies of seed and human labour than other inputs and an additional use of 1 MJ of each of these inputs would lead to a change in the yield by −0.75 and 0.73 kg/ha, respectively. The results also showed, in the process of cotton farming 897.80 and 1177.67 kg CO2 – equivalent of direct and indirect GHG were emitted per hectare respectively.

scholarly journals Predicting Fire Hazard Areas Using Vegetation Indexes, Case Study: Forests of Golestan Province, Iran

2020 ◽  
Vol 4 (1) ◽  
Author(s):  
Akram Karimi ◽  
Sara Abdollahi ◽  
Kaveh Ostad-Ali-Askari ◽  
Saeid Eslamian ◽  
Vijay P. Singh
Keyword(s):  
Fire Hazard ◽  
Hazard Maps ◽  
Alert System ◽  
Natural Fire ◽  
Vegetation Indexes ◽  
Golestan Province ◽  
Fire Area ◽  
Test Category ◽  
Percent Accuracy

Every year, hundreds of fires occur in the forests and rangelands across the world and damage thousands hectare of trees, shrubs, and plants which cause environmental and economical damages. This study aims to establish a real time forest fire alert system for better forest management and monitoring in Golestan Province. In this study, in order to prepare fire hazard maps, the required layers were produced based on fire data in Golestan forests and MODIS sensor data.At first, the natural fire data was divided into two categories of training and test samples randomly. Then, the vegetation moisture stresses and greenness were considered using six indexes of NDVI, MSI, WDVI, OSAVI, GVMI and NDWI in natural fire area of training category on the day before fire occurrence and a long period of 15 years, and the risk threshold of the parameters was considered in addition to selecting the best spectral index of vegetation. Finally, the model output was validated for fire occurrences of the test category. The results showed the possibility of prediction of fire site before occurrence of fire with more than 80 percent accuracy.

Levelised cost of energy analysis for offshore wind farms – A case study of the New York State development

2021 ◽  
Vol 239 ◽  
pp. 109923
Author(s):  
Yibo Liang ◽  
Yu Ma ◽  
Haibin Wang ◽  
Ana Mesbahi ◽  
Byongug Jeong ◽  
...  
Keyword(s):  
New York ◽  
Energy Analysis ◽  
New York State ◽  
Wind Farms ◽  
Offshore Wind ◽  
State Development ◽  
Offshore Wind Farms ◽  
York State ◽  
Cost Of Energy
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