Renewable technologies such as solar present some of the possibilities for indoor and outdoor lighting in the remotest rural Africa where grid connections may take ages.This paper examined the key determinants that dr...Renewable technologies such as solar present some of the possibilities for indoor and outdoor lighting in the remotest rural Africa where grid connections may take ages.This paper examined the key determinants that drive household lighting fuel using a nationally representative sample(14,415 households)across Rwanda.Results from a multinomial probit regression show that rural location,house ownership,household wealth,and nonfarm work are some of significant factors that influence lighting fuel choices in Rwanda.Robustness of the results indicates that household wealth levels and other regional differences are likely to influence choice probability for using clean energy sources such as solar confirming the need to priotise wealth generation.The study’s findings suggest the need for joint efforts by government and non-state actors to priotise household wealth generation,promotion of non-farm activities and improvement of infrastructures to reduce rural-urban bias and differences across the regions,assuming that wealth will motivate rural households to switch to clean energy sources.展开更多
Mission-critical IEC 61850 system architectures are designed to tolerate hardware failures to achieve the highest reliability performance.Hence,multi-channel systems are used in such systems within industrial faciliti...Mission-critical IEC 61850 system architectures are designed to tolerate hardware failures to achieve the highest reliability performance.Hence,multi-channel systems are used in such systems within industrial facilities to isolate machinery when there are process abnormalities.Inevitably,multi-channel systems introduce Common Cause Failure(CCF)since the subsystems can rarely be independent.This paper integrates CCF into the Markov reliability model to enhance the model flexibility to investigate synchronous generator intra-bay SCN architecture reliability performance considering the quality of repairs and CCF.The Markov process enables integration of the impact of CCF factors on system performance.The case study results indicate that CCF,coupled with imperfect repairs,significantly reduce system reliability performance.High sensitivity is observed at low levels of CCF,whereas the highest level of impact occurs when the system diagnostic coverage is 99%based on ISO 13849-1,and reduces as the diagnostic coverage level reduces.Therefore,it is concluded that the severity of CCF depends more on system diagnostic coverage level than the repair efficiency,although both factors impact the system overall performance.Hence,CCF should be con-sidered in determining the reliability performance of mission-critical communication networks in power distribution centres.展开更多
文摘Renewable technologies such as solar present some of the possibilities for indoor and outdoor lighting in the remotest rural Africa where grid connections may take ages.This paper examined the key determinants that drive household lighting fuel using a nationally representative sample(14,415 households)across Rwanda.Results from a multinomial probit regression show that rural location,house ownership,household wealth,and nonfarm work are some of significant factors that influence lighting fuel choices in Rwanda.Robustness of the results indicates that household wealth levels and other regional differences are likely to influence choice probability for using clean energy sources such as solar confirming the need to priotise wealth generation.The study’s findings suggest the need for joint efforts by government and non-state actors to priotise household wealth generation,promotion of non-farm activities and improvement of infrastructures to reduce rural-urban bias and differences across the regions,assuming that wealth will motivate rural households to switch to clean energy sources.
文摘Mission-critical IEC 61850 system architectures are designed to tolerate hardware failures to achieve the highest reliability performance.Hence,multi-channel systems are used in such systems within industrial facilities to isolate machinery when there are process abnormalities.Inevitably,multi-channel systems introduce Common Cause Failure(CCF)since the subsystems can rarely be independent.This paper integrates CCF into the Markov reliability model to enhance the model flexibility to investigate synchronous generator intra-bay SCN architecture reliability performance considering the quality of repairs and CCF.The Markov process enables integration of the impact of CCF factors on system performance.The case study results indicate that CCF,coupled with imperfect repairs,significantly reduce system reliability performance.High sensitivity is observed at low levels of CCF,whereas the highest level of impact occurs when the system diagnostic coverage is 99%based on ISO 13849-1,and reduces as the diagnostic coverage level reduces.Therefore,it is concluded that the severity of CCF depends more on system diagnostic coverage level than the repair efficiency,although both factors impact the system overall performance.Hence,CCF should be con-sidered in determining the reliability performance of mission-critical communication networks in power distribution centres.
