scholarly journals Analysis of the Impact of the Assumed Moment of Meeting Total Energy Demand on the Profitability of Photovoltaic Installations for Households in Poland

Energies ◽  
2021 ◽  
Vol 14 (6) ◽  
pp. 1637
Author(s):  
Natalia Iwaszczuk ◽  
Mariusz Trela

In this article, the authors analyzed two extreme investment variants considering the installed capacity of Poland’s residential pv installation: (a) pv installation meets electricity demand only in the first year of operation, and in each subsequent year it is necessary to purchase electricity at market prices; (b) installation meets electricity demand even in the last year of operation, and in each previous year, the excess of generated electricity needs to be transferred back to the grid, with the limited (by law) right of drawing it from the grid for free in the future. In the article, a sensitivity analysis was performed, and profitability changes were established based on the NPV value, depending on case (a) or (b). The performed analyses showed that the pv installation profitability should not be analyzed, assuming only one moment when it meets 100% of the household’s electricity demand. It was shown that the choice of such a moment, depending on the value of particular technical and financial parameters, can lead to a change in the NPV value, even over 10%. Although the studies were done for Poland, such an approach can be implemented in other countries.

Author(s):  
Peter Watt ◽  
George Boak ◽  
Marija Krlic ◽  
Dawn Heather Wilkinson ◽  
Jeff Gold

This reflective case-history presents the findings of a 12-week pilot study of a collaborative organizational change project which oversaw the implementation of predictive policing technology (PPT) into a territorial police force in the North of England. Based on the first year of a two-year initiative, the reflections consider the impact on the future of the project and their potential future application and cultural embeddedness, beyond the organizational and time-bound specifics of this case.


2019 ◽  
Vol 11 (14) ◽  
pp. 3914 ◽  
Author(s):  
Jaehyeok Kim ◽  
Minwoo Jang ◽  
Donghyun Shin

In this article, we empirically investigate the impact of the population age structure on electricity demand. Our study is motivated by suggestions from existing literature that demographic factors can play an important role in energy demand. Using Korean regional level panel data for 2000 to 2016, we estimate the long-run elasticities through employing cointegration regression and the short-run marginal effects by developing a panel error correction model. It is worth investigating the Korean case, since Korea is aging faster than any other advanced economy, and at the same time is one of the heaviest energy users in the world. To our knowledge, this is the first study analyzing how the population age structure affects residential electricity demand, based on regional data in Korea. Our analysis presents the following results. First, an increase in the youth population raises the residential electricity demand in the short- and long-run. Second, an increase in the population of people aged 65 and over also increases this electricity demand in the short- and long-run. Third, among the group of people aged 65 and over, we further investigate the impact of an older population group, aged 80 and over, but separately, on their residential electricity demand. However, in general there is no strong relationship in the short- and long-run.


2018 ◽  
Vol 10 ◽  
pp. 02023 ◽  
Author(s):  
Krzysztof Necka ◽  
Hubert Latala ◽  
Sławomir Kurpaska ◽  
Jarosław Knaga ◽  
Anna Karbowniczakʼ

The aim of the study was to analyse the energy needs of selected consumers and to select the PV installed capacity in the east and west panels orientation (E-W). The analysis was carried out for two variants. The first concerned the impact of the installation power of a PV source on the contracted power in its symmetric east and west position. The second variant was the result of previous observations and studies of the authors of this paper. Thus, in this variant, the unbalanced power of PV E-W in relation to the S azimuth has been analyzed, taking into account the characteristics of the recipients' needs and the variation of the PV power installed. The analyses show that an increase in meeting the energy demand for two of the tested plants at symmetrical power distribution to the east and west occurred only when the installed power was increased to the level of approx. 1.4-1.6 of the contracted power. However, the power distribution in the E-W direction has a very strong effect on the energy amount that is generated in the power plant and cannot be used due to the lack of demand in the plant.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Timothy King Avordeh ◽  
Samuel Gyamfi ◽  
Alex Akwasi Opoku

Purpose The purpose of this paper is to investigate the impact of temperature on residential electricity demand in the city of Greater Accra, Ghana. It is believed that the increasing trend of temperatures may significantly affect people’s lives and demand for electricity from the national grid. Given the recurrent electricity crisis in Ghana, this study will investigate both the current and future residential energy demands in the light of temperature fluctuations. This will inform future power generation using renewable energy resources mix to find a sustainable solution to the recurrent energy demand challenges in Ghana. This study will help the Government of Ghana to better understand the temperature dependence of residential energy demand, which in turn will help in developing behavioral modification programs aimed at reducing energy consumption. Monthly data for the temperature and residential electricity consumption for Greater Accra Region from January 2007 to December 2018 obtained from the Ghana Meteorological Service (GMS) and Ghana Grid Company (Gridco), respectively, are used for the analysis. Design/methodology/approach This study used monthly time series data from 2007 to 2018. Data on monthly electricity demand and temperature are obtained from the Ghana Grid Company and GMS. The theoretical framework for residential electricity consumption, the log-linear demand equation and time series regression approaches was used for this study. To demonstrate certain desirable properties and to produce good estimators in this study, an analysis technique of ordinary least squares measurement was also applied. Findings This study showed an impact on residential electricity requirements in the selected regions of Greater Accra owing to temperature change. The analysis suggests a substantial positive response to an increase in temperature demand for residential electricity and thus indicates a growth of the region’s demand for electricity in the future because of temperature changes. As this analysis projects, the growth in the electricity demand seems too small for concern, perhaps because of the incoherence of the mechanisms used to regulate the temperature by the residents. However, two points should be considered when drawing any conclusions even in the case of Greater Accra alone. First, the growth in the demand for electricity shown in the present study is the growth of demand due only to increasing temperatures that do not consider changes in all the other factors driving the growth of demand. The electricity demand will in the future increase beyond what is induced by temperature, due to increasing demand, population and mechanization and other socioeconomic factors. Second, power consumption understated genuine electricity demand, owing to the massive shedding of loads (Dumsor) which occurred in Ghana from 2012 to 2015 in the analysis period that also applies in the Greater Accra region. Given both of these factors, the growth in demand for electricity is set to increase in response to climate change, which draws on the authorities to prepare more critically on capacity building which loads balancing. The results also revealed that monthly total residential electricity consumption, particularly the monthly peak electricity consumption in the city of Accra is highly sensitive to temperature. Therefore, the rise in temperature under different climate change scenarios would have a high impact on residential electricity consumption. This study reveals that the monthly total residential electricity demand in Greater Accra will increase by up to 3.1%. Research limitations/implications The research data was largely restricted to only one region in Ghana because of the inconsistencies in the data from the other regions. The only climate variable use was temperature because it was proven in the literature that it was the most dominant variable that affects electricity demand, so it was not out of place to use only this variable. The research, however, can be extended to capture the entire regions of the country if sponsorship and accurate data can be obtained. Practical implications The government as the policy and law-making authority has to play the most influential role to ensure adaptation at all levels toward the impact of climate change for residential consumers. It is the main responsibility of the government to arrange enough supports to help residential consumers adapt to climate change and try to make consumers self-sufficient by modification of certain behaviors rather than supply dependent. Government bodies need to carefully define their climate adaptation supports and incentive programs to influence residential-level consumption practices and demand management. Here, energy policies and investments need to be more strategic. The most critical problem is to identify the appropriate adaptation policies that favor the most vulnerable sectors such as the residential sector. Social implications To evaluate both mitigation and adaptation policies, it is important to estimate the effect of climate change on energy usage around the world. Existing empirical figures, however, are concentrated in Western nations, especially the USA. To predict how electricity usage will shift in the city of Greater Accra, Ghana, the authors used regular household electricity consumption data. Originality/value The motivation for this paper and in particular the empirical analysis for Ghana is originality for the literature. This paper demonstrates an adequate understanding of the relevant literature in modern times.


Author(s):  
Stuart Sims ◽  
Savannah King ◽  
Tom Lowe ◽  
Yassein El-Hakim

This article analyses the outputs of an institutional approach to student engagement that created sixty staff-student partnership opportunities aiming to enhance the learning experience. The Student Fellows Scheme awarded bursaries to students in return for co-leading a project in the broad area of educational development. The projects could be evaluations, research projects or interventions. This paper describes a systematic review of the final outputs of the Student Fellow projects and depicts the extent of staff-student partnerships and the impact of the scheme, demonstrating that the majority of projects are programme-focused, with students as the main beneficiaries. Whilst a key motivation of this review was to analyse the extent of staff-student partnerships, the lack of reference to partnership in many reports illustrated the limitations of the methodology. This review has facilitated a reorganisation of the scheme and developed a structure for continuing analysis of it into the future.


Author(s):  
Mohammad Ahanchian ◽  
Jose Bienvenido Manuel Biona

This research is conducted to assess the present situation of energy demand and emission of air pollutants from road transportation sector in the Philippines along with the future forecasting of the environmental impacts from transportation sector. According to the published reports of the Department of Energy of the Philippines, transportation have the most energy-intensive sector amongst the sectors, which will account for the largest share in the country’s final energy demand registering an average of 34.5 percent. Hence, the past trend of energy consumption and emissions are applied in order to predict the future pattern. In addition, a model of transportation system using computer based software called “Long Range Energy Alternatives Planning (LEAP)” has been developed together with the associated Environmental Database (EDB) model. The framework of calculation utilized official transportation database, fuel consumption of certain vehicle type and corresponding emission of each vehicle type. The base scenario called as Business -As- Usual (BAU) is surveyed and other different alternative scenarios are presented and discussed. The model is run under the database of 2001 as the base year and extrapolated until 2030 to predict the impact of transportation. The main objective of this study is to achieve an optimal transportation policy which contributes in decline of energy demand as well as air pollution in the Philippines.


PLoS ONE ◽  
2021 ◽  
Vol 16 (3) ◽  
pp. e0248012
Author(s):  
Ernestina M. Amewornu ◽  
Nnamdi I. Nwulu

The balancing of supplied energy to energy demand is often very challenging due to unstable power supply and demand load. This challenge causes the level of performance of distribution networks to be lower than expected. Research has however, shown the role of demand response (DR) on the performance of power networks. This work investigates the influence of DR, in the presence of incorporated renewable energy, on technical loss reduction, reliability, environment, energy saved and incentives paid to consumers with the help of PSAT and AIMMS software. Results from simulation have shown that the introduction of renewable energy into a Ghanaian distribution network coupled with implementing the proposed DR improves total energy supply by 9.8% at a corresponding operation cost reduction of 72.79%. The GHG and technical loss reduced by 27.26% and 10.09% respectively. The total energy saving is about 105kWh and 5,394.86kWh, for domestic and commercial loading profiles, respectively. Incentives received by consumers range between 45.14% and 58.55% more than that enjoyed, without renewable energy, by domestic and commercial consumers. The utility benefit also increased by 76.96% and 67.31% for domestic and commercial loads than that without renewable energy. Network reliability improves with implementation of DR. However, the reliability of a grid-connected network is better with a diesel generator only than with the integration of renewable energy. The power distribution companies, therefore, need to consider the implementation of incentive-based demand response program.


2014 ◽  
Vol 18 (3) ◽  
pp. 695-707 ◽  
Author(s):  
Selcuk Atis ◽  
Nevzat Onat ◽  
Irfan Guney

This study, using statistical data published by the Turkish Electricity Transmission Company, analyzes key parameters such as installed capacity and energy demand growth rates, investment plans and emission rates, taking into consideration the expected increase in use through the year 2023. The results of the analyses were compared to relevant data from around the world. The weight of domestic - and especially renewable - resources in investment plans for the next 10 years was discussed. Recommendations for an investment plan to support sustainable development in Turkey are listed. Consequently, the lack of investment in domestic and renewable energy projects decreases the competitive power of Turkey vis-?-vis Organisation for Economic Co-Operation and Development countries in terms of many parameters. For a sustainable development, the country must make significant changes in its foreign-dependent energy production policies. Any future policies must encourage supplying local resources to meet the continuously increasing demand. Qualifications for incentive mechanisms applied to investments in renewable energy should be developed. The impact of the private sector on the installation of new plants must also be increased by quickly completing the privatization process.


Author(s):  
D. J. Miller

SynopsisThe main features of energy demand in Scotland are described and compared, in respect of total energy use and the shares supplied by the different fuels, with the figures for the United Kingdom and other countries. Recent trends in demand are examined to illustrate how the present position has been reached and factors likely to influence each fuel's share in the future are outlined. The role of the energy industries themselves is discussed and the scope for new initiatives by these industries indicated.


Energies ◽  
2019 ◽  
Vol 12 (7) ◽  
pp. 1309 ◽  
Author(s):  
Eva Lucas Segarra ◽  
Hu Du ◽  
Germán Ramos Ruiz ◽  
Carlos Fernández Bandera

The use of Building Energy Models (BEM) has become widespread to reduce building energy consumption. Projection of the model in the future to know how different consumption strategies can be evaluated is one of the main applications of BEM. Many energy management optimization strategies can be used and, among others, model predictive control (MPC) has become very popular nowadays. When using models for predicting the future, we have to assume certain errors that come from uncertainty parameters. One of these uncertainties is the weather forecast needed to predict the building behavior in the near future. This paper proposes a methodology for quantifying the impact of the error generated by the weather forecast in the building’s indoor climate conditions and energy demand. The objective is to estimate the error introduced by the weather forecast in the load forecasting to have more precise predicted data. The methodology employed site-specific, near-future forecast weather data obtained through online open access Application Programming Interfaces (APIs). The weather forecast providers supply forecasts up to 10 days ahead of key weather parameters such as outdoor temperature, relative humidity, wind speed and wind direction. This approach uses calibrated EnergyPlus models to foresee the errors in the indoor thermal behavior and energy demand caused by the increasing day-ahead weather forecasts. A case study investigated the impact of using up to 7-day weather forecasts on mean indoor temperature and energy demand predictions in a building located in Pamplona, Spain. The main novel concepts in this paper are: first, the characterization of the weather forecast error for a specific weather data provider and location and its effect in the building’s load prediction. The error is calculated based on recorded hourly data so the results are provided on an hourly basis, avoiding the cancel out effect when a wider period of time is analyzed. The second is the classification and analysis of the data hour-by-hour to provide an estimate error for each hour of the day generating a map of hourly errors. This application becomes necessary when the building takes part in the day-ahead programs such as demand response or flexibility strategies, where the predicted hourly load must be provided to the grid in advance. The methodology developed in this paper can be extrapolated to any weather forecast provider, location or building.


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