Multiparametric sensitivity analysis of energy production projects

1986 ◽  
Vol 13 (2) ◽  
pp. 121-129
Author(s):  
Jean-Paul Beaudry ◽  
André P. Langlois
Keyword(s):  
Energy Demand ◽  
Energy Production ◽  
River Flow ◽  
Planning Process ◽  
Seasonal Pattern ◽  
Sensitivity Analyses ◽  
Load Growth ◽  
Total Investment ◽  
Multiparametric Sensitivity Analysis ◽  
Demand Effect

Optimization studies of an energy production project or complex consist in determining the economic general dimensioning of the works during the prefeasibility or the feasibility stage of the studies. As these first studies are part of the iterative system planning process, they should include very exhaustive sensitivity analyses on the accuracy of all technical and economic parameters, although (and even because) so much data is uncertain during this phase.After a review of the mathematics of discounting and of the decision-making economic criteria, a nomographic approach is presented that allows the optimum dimensions of the project to be determined as a function of any combination of the following parameters: imposed discount rate, total investment cost, variations in cash flow pattern, delay in commissioning date, life expectancy of the works, monetary value of energy and power, system load growth, seasonal pattern of energy demand, effect of secondary energy, long-term average river flow, and effect of regulation on downstream developments.

scholarly journals Integrated Approach for Wastewater Treatment and Biofuel Production in Microalgae Biorefineries

Energies ◽  
2021 ◽  
Vol 14 (8) ◽  
pp. 2282
Author(s):  
Sanjeet Mehariya ◽  
Rahul Kumar Goswami ◽  
Pradeep Verma ◽  
Roberto Lavecchia ◽  
Antonio Zuorro
Keyword(s):  
Wastewater Treatment ◽  
Energy Demand ◽  
Energy Production ◽  
Effective Means ◽  
Integrated Approach ◽  
Biofuel Production ◽  
World Population ◽  
Treatment Processes ◽  
Current Scenario ◽  
Valuable Compounds

The increasing world population generates huge amounts of wastewater as well as large energy demand. Additionally, fossil fuel’s combustion for energy production causes the emission of greenhouse gases (GHG) and other pollutants. Therefore, there is a strong need to find alternative green approaches for wastewater treatment and energy production. Microalgae biorefineries could represent an effective strategy to mitigate the above problems. Microalgae biorefineries are a sustainable alternative to conventional wastewater treatment processes, as they potentially allow wastewater to be treated at lower costs and with lower energy consumption. Furthermore, they provide an effective means to recover valuable compounds for biofuel production or other applications. This review focuses on the current scenario and future prospects of microalgae biorefineries aimed at combining wastewater treatment with biofuel production. First, the different microalgal cultivation systems are examined, and their main characteristics and limitations are discussed. Then, the technologies available for converting the biomass produced during wastewater treatment into biofuel are critically analyzed. Finally, current challenges and research directions for biofuel production and wastewater treatment through this approach are outlined.

scholarly journals Bioenergía a partir de microalgas en México

2019 ◽  
pp. 23-34
Author(s):  
Sheila Genoveva Pérez-Bravo ◽  
Ana María Mendoza-Martínez ◽  
Maria del Refugio Castañeda-Chávez ◽  
Luciano Aguilera-Vázquez
Keyword(s):  
Energy Demand ◽  
Energy Production ◽  
Fossil Fuel ◽  
Technological Development ◽  
Raw Material ◽  
World Population ◽  
Fuel Prices ◽  
Lipid Contents ◽  
Current Energy ◽  
Short Carbon

The energy demand of the world population is increasing due to population growth and technological development. The current energy base is a generator of CO2 emissions, the most abundant and main greenhouse gas responsible for global warming, as well as pollutants, sulfur oxides and nitrogen oxides. The environmental deterioration and the increase in fossil fuel prices make it necessary to investigate less aggressive energy sources with the environment at competitive costs in the market. Biofuels are an alternative for energy production due to their origin in the short carbon cycle, their emissions are considered almost zero, including biodiesel and bioethanol. The latter can be obtained from microalgae rich in carbohydrates and lipids, easy to grow in short periods of time. The objective of this research is to summarize the findings made about the existence of useful microalgae as raw material to produce biofuels in Mexican territory. An exhaustive review of the literature was carried out, which contributed to estimate the microalgal diversity in the country and its lipid contents as well as carbohydrates, with different species of the genera Chlamydomonas, Chlorella, Scenedesmus, Desmodesmus being found mainly.

scholarly journals A new clustering and visualization method to evaluate urban energy planning scenarios

2018 ◽  
Author(s):  
Sara Torabi Moghadam ◽  
Silvia Coccolo ◽  
Guglielmina Mutani ◽  
Patrizia Lombardi ◽  
Jean Louis Scartezzini ◽  
...  
Keyword(s):  
Energy Consumption ◽  
Urban Areas ◽  
Energy Demand ◽  
Planning Process ◽  
Energy Transition ◽  
Climatic Conditions ◽  
Energy Planning ◽  
Transition Strategies ◽  
Urban Energy ◽  
The City

The spatial visualization is a very useful tool to help decision-makers in the urban planning process to create future energy transition strategies, implementing energy efficiency and renewable energy technologies in the context of sustainable cities. Statistical methods are often used to understand the driving parameters of energy consumption but rarely used to evaluate future urban renovation scenarios. Simulating whole cities using energy demand softwares can be very extensive in terms of computer resources and data collection. A new methodology, using city archetypes is proposed, here, to simulate the energy consumption of urban areas including urban energy planning scenarios. The objective of this paper is to present an innovative solution for the computation and visualization of energy saving at the city scale.The energy demand of cities, as well as the micro-climatic conditions, are calculated by using a simplified 3D model designed as function of the city urban geometrical and physical characteristics. Data are extracted from a GIS database that was used in a previous study. In this paper, we showed how the number of buildings to be simulated can be drastically reduced without affecting the accuracy of the results. This model is then used to evaluate the influence of two set of renovation solutions. The energy consumption are then integrated back in the GIS to identify the areas in the city where refurbishment works are needed more rapidly. The city of Settimo Torinese (Italy) is used as a demonstrator for the proposed methodology, which can be applied to all cities worldwide with limited amount of information.

scholarly journals Urban energy performance calculation based on EPBD standards. GIS4ENER tool

2020 ◽  
Author(s):  
Gema Hernandez-Moral ◽  
◽  
Víctor Iván Serna-Gonzalez ◽  
Francisco Javier Miguel Herrero ◽  
César Valmaseda-Tranque
Keyword(s):  
Energy Demand ◽  
Planning Process ◽  
Energy Performance ◽  
Local Scale ◽  
Decision Makers ◽  
Energy Planning ◽  
Strong Impact ◽  
Building Stock ◽  
Urban Energy ◽  
Performance Calculation

Climate change will have a strong impact on urban settings, which will also represent one of the major challenges (world’s urban population is expected to double by 2050, EU buildings consume 40% final energy and generate 36% CO2 emissions). A plethora of initiatives address this challenge by stressing the underlying necessity of thinking globally but acting locally. This entails the inclusion of a varied set of decision-makers acting at different scales and needing robust, comprehensive and comparable information that can support them in their energy planning process. To this end, this paper presents the GIS4ENER tool to support energy planners at different scales by proposing a bottom-up approach towards the calculation of energy demand and consumption at local scale that can be aggregated to support other decision-making scales. It is based on three main pillars: the exploitation of publicly available data (such as Open Street Maps, Building Stock Observatory or TABULA), the implementation of standardised methods to calculate energy (in particular the ISO52000 family) and the use of Geographic Information Systems to represent and facilitate the understanding of results, and their aggregation. The paper presents the context, main differences with other approaches and results of the tool in Osimo (IT).

scholarly journals Modelling of Demand Driven Biogas Plants to Cover Residual Load Rises

Proceedings ◽  
2018 ◽  
Vol 2 (22) ◽  
pp. 1385 ◽  
Author(s):  
Lena Peters ◽  
Piotr Biernacki ◽  
Frank Uhlenhut ◽  
Sven Steinigeweg
Keyword(s):  
Reaction Time ◽  
Energy Demand ◽  
Energy Production ◽  
Process Model ◽  
Input Data ◽  
Biogas Production ◽  
Pi Controller ◽  
Feeding Program ◽  
Biogas Plants ◽  
Flexible Operation

In future, systems for energy storage and demand-driven energy production will be essential to cover the residual load rises. A rigorous dynamic process model based on ADM1 was used to analyze the flexible operation of biogas plants for covering the residual load rises. This model was optimized and an operation concept for a demand-driven energy production was worked out. For the input data different substrates were analyzed by batch fermentations and the Weender analysis with van Soest method. The results show that the substrates have got a different biogas production rate and reaction time. Finally, an intelligent feeding algorithm by implementation of a PI controller was developed. It calculates feeding times and quantities of available substrates so that a defined energy demand can be covered by biogas plants. The results demonstrate that a flexible operation of biogas plants with an individual and intelligent feeding program is possible.

scholarly journals Matching Energy Consumption and Photovoltaic Production in a Retrofitted Dwelling in Subtropical Climate without a Backup System

Energies ◽  
2020 ◽  
Vol 13 (22) ◽  
pp. 6026
Author(s):  
Sergio Gómez Melgar ◽  
Antonio Sánchez Cordero ◽  
Marta Videras Rodríguez ◽  
José Manuel Andújar Márquez
Keyword(s):  
Renewable Energy ◽  
Energy Demand ◽  
Energy Production ◽  
Residential Buildings ◽  
Hot Water ◽  
Subtropical Climate ◽  
Zero Energy ◽  
Electric Circuits ◽  
Renewable Energy Production ◽  
Zero Energy Buildings

The construction sector is a great contributor to global warming both in new and existing buildings. Minimum energy buildings (MEBs) demand as little energy as possible, with an optimized architectural design, which includes passive solutions. In addition, these buildings consume as low energy as possible introducing efficient facilities. Finally, they produce renewable energy on-site to become zero energy buildings (ZEBs) or even plus zero energy buildings (+ZEB). In this paper, a deep analysis of the energy use and renewable energy production of a social dwelling was carried out based on data measurements. Unfortunately, in residential buildings, most renewable energy production occurs at a different time than energy demand. Furthermore, energy storage batteries for these facilities are expensive and require significant maintenance. The present research proposes a strategy, which involves rescheduling energy demand by changing the habits of the occupants in terms of domestic hot water (DHW) consumption, cooking, and washing. Rescheduling these three electric circuits increases the usability of the renewable energy produced on-site, reducing the misused energy from 52.84% to 25.14%, as well as decreasing electricity costs by 58.46%.

scholarly journals Modelling Future Agricultural Mechanisation of Major Crops in China: An Assessment of Energy Demand, Land Use and Emissions

Energies ◽  
2020 ◽  
Vol 13 (24) ◽  
pp. 6636
Author(s):  
Iván García Kerdan ◽  
Sara Giarola ◽  
Ellis Skinner ◽  
Marin Tuleu ◽  
Adam Hawkes
Keyword(s):  
Land Use ◽  
Energy Demand ◽  
Energy Use ◽  
Mainland China ◽  
Bioenergy Crops ◽  
Direct Energy ◽  
Total Investment ◽  
On Farm ◽  
Global Emissions

Agricultural direct energy use is responsible for about 1–2% of global emissions and is the major emitting sector for methane (2.9 GtCO2eq y−1) and nitrous oxide (2.3 GtCO2eq y−1). In the last century, farm mechanisation has brought higher productivity levels and lower land demands at the expense of an increase in fossil energy and agrochemicals use. The expected increase in certain food and bioenergy crops and the uncertain mitigation options available for non-CO2 emissions make of vital importance the assessment of the use of energy and the related emissions attributable to this sector. The aim of this paper is to present a simulation framework able to forecast energy demand, technological diffusion, required investment and land use change of specific agricultural crops. MUSE-Ag & LU, a novel energy systems-oriented agricultural and land use model, has been used for this purpose. As case study, four main crops (maize, soybean, wheat and rice) have been modelled in mainland China. Besides conventional direct energy use, the model considers inputs such as fertiliser and labour demand. Outputs suggest that the modernisation of agricultural processes in China could have the capacity to reduce by 2050 on-farm emissions intensity from 0.024 to 0.016 GtCO2eq PJcrop−1 (−35.6%), requiring a necessary total investment of approximately 319.4 billion 2017$US.

scholarly journals Experimental and CFD analysis of rotary multi vane expander for small capacity generation

2018 ◽  
Vol 204 ◽  
pp. 06007
Author(s):  
Mohammad Mahardika
Keyword(s):  
Mass Flow Rate ◽  
Mass Flow ◽  
Flow Rate ◽  
Energy Demand ◽  
Energy Production ◽  
Energy Content ◽  
Operating Conditions ◽  
Volumetric Efficiency ◽  
Population Increase ◽  
Cfd Analysis

Every year, Indonesia's population increase so as energy demand. To fulfill Indonesia's energy needs, the capacity of energy production should be increased. Indonesia government has made a solution by propose 35.000 MW program to increase energy production and electrification ratio in Indonesia. An insulated area where electricity did not reach, has many problem to get electricity such as limited infrastructure, low fuel energy content, and expensive turbine. To solve these problem, multi-vane expander (MVE) can be used to extract the low energy and is cheap. MVE have many advantages such as cheap, easy to manufacture, able to operate with 2 phase, and able to low speed operation. But, the disadvantage of this type of expander is leakage. In this paper, experimental and CFD analysis of MVE are conducted. The experiment generated power of 25.7 watt with isentropic and volumetric efficiency of 11.6% and 11.7% by using operating condition of 1.5 bar, 115.6 °C, 626 rpm, and mass flow rate of 80 kg/h. The CFD model of the expander is created with the same dimension and operating conditions as experimental. The result for isentropic efficiency is inversely proportional with mass flow rate and for volumetric efficiency, power, and expander rotation are directly proportional with mass flow rate.

scholarly journals Cleaner and Sustainable Energy Production in Pakistan: Lessons Learnt from the Pak-TIMES Model

Energies ◽  
2019 ◽  
Vol 13 (1) ◽  
pp. 108 ◽  
Author(s):  
Syed Aziz Ur Rehman ◽  
Yanpeng Cai ◽  
Zafar Ali Siyal ◽  
Nayyar Hussain Mirjat ◽  
Rizwan Fazal ◽  
...  
Keyword(s):  
Health Risks ◽  
Atmospheric Pollution ◽  
Electricity Generation ◽  
Energy Production ◽  
Planning Process ◽  
Ghg Emissions ◽  
Energy Planning ◽  
National Scale ◽  
Environmental Emissions ◽  
Business As Usual

The energy planning process essentially requires addressing diverse planning objectives, including prioritizing resources, and the estimation of environmental emissions and associated health risks. This study investigates the impacts of atmospheric pollution for Pakistan from the energy production processes under various modalities. A national-scale bottom-up energy optimization model (Pak-TIMES) with the ANSWER-TIMES framework is developed to assess the electricity generation pathways (2015–2035) and estimate GHG emissions and major air pollutants, i.e., CH4, CO, CO2, N2O, NOX, PM1, PM10, PM2.5, PMBC, PMOC, PMTSP, SO2, and VOC under five scenarios. These scenarios are: BAU (business-as-usual), RE-30 (30% renewables), RE-40 (40% renewables), Coal-30 (30% coal), and Coal-40 (40% coal). It is revealed that to reach the electricity demand of 3091 PJ in 2035, both the Coal-30 and Coal-40 scenarios shall cause maximum emissions of GHGs, i.e., 260.13 and 338.92 Mt (million tons) alongside 40.52 and 54.03 Mt emissions of PMTSP in both of the scenarios, respectively. BAU scenario emissions are estimated to be 181.5 Mt (GHGs) and 24.30 Mt (PMTSP). Minimum emissions are estimated in the RE-40 scenario with 96.01 Mt of GHGs and 11.80 Mt of PMTSP, followed by the RE-30 scenario (143.20 GHGs and 17.73 Mt PMTSP). It is, therefore, concluded that coal-based electricity generation technologies would be a major source of emission and would contribute the highest amount of air pollution. This situation necessitates harnessing renewables in the future, which will significantly mitigate public health risks from atmospheric pollution.

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