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[en] With the historic nuclear agreement now in effect, Iran's energy sector expects a new transformation to spark back into life. The government seeks to recover the years of backwardness by capital injections and attract foreign cash into the sector long starved of investment. In this respect, an appropriate and convenient resource allocation scheme in a long-term perspective is vital to keep Iran's position as a major energy supplier. This study develops a new hybrid multi-criteria decision-making model through integrating fuzzy Analytical hierarchy process with the Cumulative belief degree model to effectively evaluate energy alternatives for investment in Iran. Fuzzy analytical hierarchy process adds more benefits to the integrated model by providing the fuzzy pairwise comparison to identify weights of criteria while the Cumulative belief degree approach offers higher quality results of overall experts' opinions since it can deal with the missing values. STEEP analysis is also used to ensure capturing influential factors in five categories: social, technological, economic, environmental, and political. As a real application, the proposed methodology is applied to prioritize major energy resources for investment in Iran. Results indicate that natural gas is the ideal option for receiving the highest funding priority followed by solar and oil. - Highlights: • A new hybrid multi-criteria decision making method is proposed. • Cumulative belief degree model is combined with fuzzy analytical hierarchy process. • Utilization of STEEP analysis to capture all influential parameters. • Evaluation of Iran's energy sector to prioritize alternatives for investment. • Natural gas is Iran's best energy investment option followed by solar and oil.
[en] One of the technologies that stand out as an alternative to provide additional flexibility to power systems with large penetration of variable renewable energy (VRE), especially for regions with high direct normal irradiation (DNI), is concentrated solar power (CSP) plants coupled to thermal energy storage (TES) and back-up (BUS) systems. Brazil can develop this technology domestically, especially in its Northeast region, where most of VRE capacity is being deployed and where lies most of the CSP potential of the country. This work applies the Capacity Expansion Model REMix-CEM, which allows considering dispatch constraints of thermal power plants in long-term capacity expansion optimization. REMix-CEM calculates the optimal CSP plant configuration and its dispatch strategy from a central planning perspective. Results showed that the hybridization of CSP plants with jurema-preta biomass (CSP-BIO) becomes a least-cost option for Brazil by 2040. CSP-BIO contributes to the Northeast power system by regularizing the energy imbalance that results from the large-scale VRE expansion along with conventional inflexible power plants. CSP-BIO plants are able to increase frequency response and operational reserve services and can provide the required additional flexibility that the Northeast power system of Brazil will require into the future. - Highlights: • Concentrating solar power (CSP) plants provide flexibility to power systems. • CSP configuration is optimized endogenously during capacity expansion optimization. • CSP hybridized with biomass supports grid-integration of variable renewable energy. • CSP become the least-cost option for the Northeast power system of Brazil by 2040.
[en] Electric Vehicles (EVs) are an important source of uncertainty, due to their variable demand, departure time and location. In smart grids, the electricity demand can be controlled via Demand Response (DR) programs. Smart charging and vehicle-to-grid seem highly promising methods for EVs control. However, high capital costs remain a barrier to implementation. Meanwhile, incentive and price-based schemes that do not require high level of control can be implemented to influence the EVs' demand. Having effective tools to deal with the increasing level of uncertainty is increasingly important for players, such as energy aggregators. This paper formulates a stochastic model for day-ahead energy resource scheduling, integrated with the dynamic electricity pricing for EVs, to address the challenges brought by the demand and renewable sources uncertainty. The two-stage stochastic programming approach is used to obtain the optimal electricity pricing for EVs. A realistic case study projected for 2030 is presented based on Zaragoza network. The results demonstrate that it is more effective than the deterministic model and that the optimal pricing is preferable. This study indicates that adequate DR schemes like the proposed one are promising to increase the customers' satisfaction in addition to improve the profitability of the energy aggregation business. - Highlights: • A stochastic model for energy scheduling tackling several uncertainty sources. • A two-stage stochastic programming is used to tackle the developed model. • Optimal EV electricity pricing seems to improve the profits. • The propose results suggest to increase the customers' satisfaction.
[en] In this study, the influence of temperature on the pyrolytic product characteristics and economic costs was investigated and an optimum operational temperature was determined. Because of the relatively high contents of CH_4 (21 vol%) and H_2 (32 vol%), the low heat value of gas at 750 °C reached 17.64 MJ/m"3, while the largest yield of gas was achieved at 950 °C. The obtained oil could be divided into the following three types in accordance with the temperature change: high acidity oil (250 °C–350 °C), phenol-enriched oil (450 °C–650 °C), and heavy oil enriched with fused rings (650 °C–950 °C). The heaviest oil contained fused rings (∼50%), phenols (∼30%), and acids (∼20%), and it showed good stability of ingredients in oil. The largest yield of char was detected below 350 °C. To obtain quality smokeless solid fuel and activated char, the operational temperature should be set to 550 °C and 750 °C, respectively. The results from the economic analysis on biomass pyrolysis using a moving bed reactor suggested that the optimum operation temperature was 650 °C and the maximum profit could reach to 25 million yuan per year. - Highlights: • The optimum operation temperature is 650–750 °C for rapeseed stalk pyrolysis. • With 21% of CH4 and 32% of H2, the LHV of gas at 750 °C reached 18 MJ/m"3. • The heaviest oil contained fused rings, phenols, and acids. • The maximum S_B_E_T of rapeseed stalk chars reached 325 m"2/g at 850 °C. • The oil obtained above 650 °C showed relative good stability of ingredients.
[en] Rapidly increasing penetration of renewables, primarily wind and photovoltaics (PV), is causing a move away from fossil fuel in the Australian electric power industry. This study focuses on the South West Interconnected System in Western Australia. Several high (90% and 100%) renewables penetration scenarios have been modelled, comprising wind and PV supplemented with a small amount of biogas, and compared with a “like-for-like” fossil-fuel replacement scenario. Short-term off-river (closed cycle) pumped hydro energy storage (PHES) is utilised in some simulations as a large-scale conventional storage technology. The scenarios are examined by using a chronological dispatch model. An important feature of the modelling is that only technologies that have been already deployed on a large scale (>150 gigawatts) are utilised. This includes wind, PV and PHES. The modelling results demonstrate that 90–100% penetration by wind and PV electricity is compatible with a balanced grid. With the integration of off-river PHES, 90% renewables penetration is able to provide low-carbon electricity at competitive prices. Pumped hydro also facilitates a 100% renewables scenario which produces zero greenhouse gas emissions with attractive electricity prices. A sensitivity analysis shows the most important factors in the system cost are discount rate and wind turbine cost. - Highlights: • Short-term off-river pumped hydro energy storage (STORES). • 90–100% renewables for a large-scale self-contained power system. • PV and wind serves 80–90% of the total energy. • 90% renewables system costs $116 ($103)/MWh using 2016 (2030) prices.
[en] In this study, a comprehensive exergetic performance analysis of an ice-cream manufacturing plant was conducted in order to pinpoint the locations of thermodynamic inefficiencies. Exergetic performance parameters of each subunit of the plant were determined and illustrated individually through writing and solving energy and exergy balance equations on the basis of real operational data. The required data were acquired from a local ice-cream factory located in Tehran, Iran. The plant included three main subsystems including water steam generator, refrigeration system, and ice-cream production line. An attempt was also made to quantify the specific exergy destruction of the ice-cream manufacturing process. The functional exergetic efficiency of the water steam generator, refrigeration system, and ice-cream production line was determined at 17.45%, 25.52%, and 5.71%, respectively. The overall functional exergetic efficiency of the process was found to be 2.15%, while the specific exergy destruction was calculated as 719.80 kJ/kg. In general, exergy analysis and its derivatives could provide invaluable information over the conventional energy analysis, suggesting potential locations for the plant performance improvement. - Highlights: • An ice-cream manufacturing plant was exergetically analyzed using the actual data. • Water steaming unit had the highest irreversibility rate among the plant subunits. • The specific exergy destruction of the ice-cream manufacturing was 719.80 kJ/kg. • The overall process exergetic efficiency of the process was found to be 2.15%.
[en] The design methodology available in the literature for downdraft gasifiers of large capacity (∼40–600 kW_t_h) is not directly applicable to very small sized gasifiers. In the present work, design and development of small downdraft gasifiers of 4 kW_t_h and 2.5 kW_t_h nominal capacities, for domestic cookstove application, have been carried out by non-linear extrapolation of data in literature for large gasifiers. The prototypes thus developed were found to give maximum gasification efficiency close to 80%. Extensive experimentation was conducted in the laboratory to study the effect of two operating parameters, viz., gasification air flow rate and the fuel particle size, on the performance of these gasifiers. The performance parameters studied included calorific value of the gas, gasification efficiency, air-biomass ratio and the hearth load. Through detailed analysis of the results, it has been shown that the two operating parameters affect the gasifier performance primarily through their impact on reactor temperature and the total particle surface area available for the reactions. This explains the observation of an optimal gasification air flow rate for best gasification efficiency. It is also shown that the producer gas flow rate varies linearly with gasification air flow rate for a wide range of operating conditions on different sizes of gasifiers. It is also seen that different sizes of the gasifiers can have a different hearth load corresponding to best efficiency. - Highlights: • Developed a design methodology for small downdraft gasifiers by adapting guidelines meant for larger gasifiers. • Developed two prototypes of gasifiers: 4 kW_t_h and 2.5 kW_t_h with gasification efficiency ∼80%. • Reactor temperature and total particle surface area available for reactions affect the gasifier performance. • The optimal gasification air flow rate and particle size for best gasification efficiency are explained using the above. • Producer gas versus air flow rate gives a single straight line for different gasifiers, fuel types and sizes.
[en] Today in the worldwide quest for production and economic preference, only industries will survive that have proper solutions for waste disposal and environmental pollution. In industrial applications, a blow down network of gases is used in order to control system pressure and safety instruments. At the end of this network, the excess gases are burnt in the flare tower, which have severe consequences on the environment. Different methods have been proposed and several alternatives have been introduced for reduction and recovery of flaring gases. In this paper, three methods including gas to liquid (GTL), gas turbines generation (GTG) and gas to ethylene (GTE) are introduced and compared with the best method from economic point of view being identified. For this purpose, a natural gas sample is taken from Asalloyeh Refinery Plant and the process has been simulated using Aspen HYSYS. Meanwhile, estimation of the capital and operating costs and evaluation of the processes involved were made using Aspen Capital Cost Estimator. According to the results obtained, production of the electric power from flaring gases is one of the most economical methods. GTG method, with an annual profit of about 480e+006 $, has a greater ROR percent. - Highlights: • Three methods including GTL, GTG and GTE are developed for flare gas recovery. • The processes has been simulated using Aspen HYSYS. • Estimation of the capital and operating costs of the processes were made. • According to the results obtained, GTG is one of the most economical methods. • GTE method has the highest annual benefit, it has the lowest ROR percent.
[en] The growing energy demand in progressing civilization governs the exploitation of various renewable sources over the conventional sources. Wind, Solar, Hydro, Biomass, and waste & Bagasse are the various available renewable sources in India. A reliable nonconventional geothermal source is also available in India but it is restricted to direct heat applications. This study archives the status of renewable alternatives in India. The techno economic factors and environmental aspects associated with each of these alternatives are discussed. This study focusses on prioritizing the renewable sources based on a parameter introduced as Energy Index. This index is evaluated using cumulative scores obtained for each of the alternatives. The cumulative score is obtained by evaluating each alternative over a range of eleven environmental and techno economic criteria following Fuzzy Analytical Hierarchy Process. The eleven criteria's considered in the study are Carbon dioxide emissions (CO_2), Sulphur dioxide emissions (SO_2), Nitrogen oxide emissions (NO_x), Land requirement, Current energy cost, Potential future energy cost, Turnkey investment, Capacity factor, Energy efficiency, Design period and Water consumption. It is concluded from the study that the geothermal source is the most preferable alternative with highest Energy Index. Hydro, Wind, Biomass and Solar sources are subsequently preferred alternatives. - Highlights: • FAH process is used to obtain cumulative score for each renewable alternative. • Cumulative score is normalized by highest score of ideal source. • Energy Index shows how best a renewable alternative is. • Priority order is obtained for alternatives based on Energy Index. • Geothermal is most preferable source followed by Hydro, Wind, Biomass and Solar.
[en] Heat pipes are becoming increasingly popular as passive heat transfer technologies due to their high efficiency. This paper provides a comprehensive review of the state-of-the-art applications, materials and performance of current heat pipe devices. The paper is divided into four main parts; low temperature heat pipes, high temperature heat pipes, thermal modelling of heat pipes and discussion. The low and high temperature sections present an extended list with suitable working fluids and operating temperatures, along with their compatibility with casing materials. Furthermore, the sections focus on some of the most widespread industrial applications, such as solar, nanoparticles, Rankine cycles, nuclear, thermoelectric modules and ceramics, in which heat pipe technologies offer many key advantages over conventional practises. The third part of the paper consists of a thorough analysis of the thermal modelling side of heat pipes. Internal and external thermal modelling techniques, theories and methodologies are presented in this section, for various applications such as non-Newtonian fluids, nano-fluids, solar, geothermal, automotive, hybrid storage and nuclear systems. The final part of the paper discusses the limitations of heat pipes and the reasons why they are not implemented in more aspects of our lives. Operational limitations, cost concerns and the lack of detailed theoretical and simulation analysis of heat pipes are some of the point covered in this section. Finally, some of the recent and future developments in the field are discussed. - Highlights: • A comprehensive review on the heat pipe technology in the literature is included. • The current state of the art for this technology is included and detailed. • The potential for this technology is illustrated with sample real case studies.