{"_buckets": {"deposit": "28603274-0457-4b0a-8331-907ea73dedb1"}, "_deposit": {"id": "7530", "owners": [], "pid": {"revision_id": 0, "type": "depid", "value": "7530"}, "status": "published"}, "_oai": {"id": "oai:kitami-it.repo.nii.ac.jp:00007530"}, "item_7_alternative_title_18": {"attribute_name": "\u305d\u306e\u4ed6\u306e\u30bf\u30a4\u30c8\u30eb", "attribute_value_mlt": [{"subitem_alternative_title": "\u592a\u967d\u5149\u767a\u96fb\u3092\u4f34\u3046\u8907\u5408\u30a8\u30cd\u30eb\u30ae\u30fc\u30b7\u30b9\u30c6\u30e0\u306e\u904b\u7528\u6700\u9069\u5316\u306b\u95a2\u3059\u308b\u7814\u7a76"}]}, "item_7_date_granted_63": {"attribute_name": "\u5b66\u4f4d\u6388\u4e0e\u5e74\u6708\u65e5", "attribute_value_mlt": [{"subitem_dategranted": "2011-03-18"}]}, "item_7_degree_grantor_61": {"attribute_name": "\u5b66\u4f4d\u6388\u4e0e\u6a5f\u95a2", "attribute_value_mlt": [{"subitem_degreegrantor": [{"subitem_degreegrantor_name": "\u5317\u898b\u5de5\u696d\u5927\u5b66"}]}]}, "item_7_degree_name_60": {"attribute_name": "\u5b66\u4f4d\u540d", "attribute_value_mlt": [{"subitem_degreename": "\u535a\u58eb\uff08\u5de5\u5b66\uff09"}]}, "item_7_description_4": {"attribute_name": "\u6284\u9332", "attribute_value_mlt": [{"subitem_description": "This thesis optimizes the operation planning of a photovoltaic system with a diesel\nengine generator or a combined fuel cell. The proposal systems allow for the\nconstruction of a power supply system with low environmental impact that uses\nrenewable energy. The production of electricity from the photovoltaic system (PV)\ncontinues to attract interest as a power source for distributed energy generation. It is\nimportant to be able to estimate a photovoltaic power to optimize system energy\nmanagement. The neural network has been proposed as suitable for statistical\napproaches for classifications and prediction problems. A layered neural network is\nmade to learn and teach based on the weather data of amount of solar radiation and\noutside air temperature. Fuel cell power generation is another attractive option for\nproviding power for electric utilities and commercial buildings because of its high\nefficiency and environmentally benign feature. The fuel cells have recently been the\nfocus of great interest as a distributed generation technology. The solid-oxide fuel\ncell (SOFC) and a proton-exchange membrane fuel cell (PEFC) are two types of fuel\ncells and particularly suitable for distributed power generation and cogeneration\nsystems. Moreover, energy supply characteristics of a PV and a diesel engine\ngenerator combined system are studied. Two operating cases are examined in this\nsystem: one with and one without a power storage facility. The operation of thediesel engine generator is based on the fluctuation of the load in the operation of\nCase 1, and a battery is not used. Therefore, because the engine is operated over a\nwide area from a low to a high load, the average engine operation efficiency is low.\nOn the other hand, in the operation of Case 2, a battery is used to supply the demand\nwhen the PV power generation is less than the demand, and the diesel engine\ngenerator operates at 25% or less of the battery residual quantity to work in safety\nmode in the proposed system. Furthermore, operation of the engine generator is\nbased on the charge or discharge of the battery, with maximum engine efficiency at\nmaximum output power. Comparisons are presented of the results from the two cases\nwith respect to the actual calculations of output power and the predicted electricity\nproduction from the photovoltaic system. Energy is supplied to a demand side of\nthree households in Sapporo city, Japan from the proposed system, and no external\nsources are used. The analysis error of the operation prediction is considered.\nA photovoltaic and SOFC-PEFC combined system is developed in this study. The\nproposed system consists of a SOFC-PEFC combined system and a PV as the energy\nsupply to a micro-grid of 30 residences in Sapporo, Japan. The operation plan of the\nsystem has three cases: without solar power, with 50% and with 100% of solar\noutput power. Furthermore, three types of system operation of using the SOFC\nindependent operation, PEFC independent operation and SOFC-PEFC combined\nsystem are used to supply the demand side. A comparative study between the types\nof system operation is presented. The power generation efficiency is investigated for different load patterns: average load pattern, compressed load pattern and extended\nload pattern.\nThe operation results the PV and the diesel engine combined system shows that,\nwhen the NN production-of-electricity prediction is introduced, the engine generator\noperating time is reduced by 12.5% in December and 16.7% for March and\nSeptember. The engine generator operation time is shortened by introducing a NN\nprediction algorithm. Furthermore, the operation results of the PV and SOFC-PEFC\ncombined system show that, the difference between the SOFC independent system\nand the PEFC independent system is small. The fuel consumption of the SOFCPEFC\ncombined system is reduced 10 to 35% compared with the SOFC or PEFC\nsystems independently. The power generation efficiency of the SOFC-PEFC\ncombined system considering the three load patterns of the proposed system is 27%\nto 48%. When photovoltaic generation is not introduced into the SOFC-PEFC\ncombined system, the change in the power generation efficiency is small.\nConsidering all the results of this thesis, it is found that the optimized operation of\nan energy system with a PV power generation reduced the time operation of the\ndiesel engine generator and the energy cost of the proposal systems. In addition, the\nproposed energy systems with a PV power generation are proved to be effective to\nachieve the purpose supplying energy to a micro-grid with good performance\nwithout any external source.", "subitem_description_type": "Abstract"}]}, "item_7_dissertation_number_64": {"attribute_name": "\u5b66\u4f4d\u6388\u4e0e\u756a\u53f7", "attribute_value_mlt": [{"subitem_dissertationnumber": "10106\u7532\u7b2c109\u53f7"}]}, "item_7_identifier_registration": {"attribute_name": "ID\u767b\u9332", "attribute_value_mlt": [{"subitem_identifier_reg_text": "10.19000/00007524", "subitem_identifier_reg_type": "JaLC"}]}, "item_7_select_15": {"attribute_name": "\u8457\u8005\u7248\u30d5\u30e9\u30b0", "attribute_value_mlt": [{"subitem_select_item": "ETD"}]}, "item_7_subject_16": {"attribute_name": "\u65e5\u672c\u5341\u9032\u5206\u985e\u6cd5", "attribute_value_mlt": [{"subitem_subject": "543.8", "subitem_subject_scheme": "NDC"}]}, "item_creator": {"attribute_name": "\u8457\u8005", "attribute_type": "creator", "attribute_value_mlt": [{"creatorNames": [{"creatorName": "ABEER, GALAL EL-SAYED SAAD"}], "nameIdentifiers": [{"nameIdentifier": "38556", "nameIdentifierScheme": "WEKO"}]}]}, "item_files": {"attribute_name": "\u30d5\u30a1\u30a4\u30eb\u60c5\u5831", "attribute_type": "file", "attribute_value_mlt": [{"accessrole": "open_date", "date": [{"dateType": "Available", "dateValue": "2016-11-22"}], "displaytype": "detail", "download_preview_message": "", "file_order": 0, "filename": "\u30a2\u30d3\u30fc\u30eb.pdf", "filesize": [{"value": "1.4 MB"}], "format": "application/pdf", "future_date_message": "", "is_thumbnail": false, "licensetype": "license_free", "mimetype": "application/pdf", "size": 1400000.0, "url": {"label": "\u30a2\u30d3\u30fc\u30eb.pdf", "url": "https://kitami-it.repo.nii.ac.jp/record/7530/files/\u30a2\u30d3\u30fc\u30eb.pdf"}, "version_id": "bdd0edf7-df1f-4f8b-9463-4a1f42991b2c"}]}, "item_keyword": {"attribute_name": "\u30ad\u30fc\u30ef\u30fc\u30c9", "attribute_value_mlt": [{"subitem_subject": "Operational Optimization", "subitem_subject_scheme": "Other"}, {"subitem_subject": "Combined Energy System", "subitem_subject_scheme": "Other"}, {"subitem_subject": "Photovoltaic Power Generation", "subitem_subject_scheme": "Other"}]}, "item_language": {"attribute_name": "\u8a00\u8a9e", "attribute_value_mlt": [{"subitem_language": "eng"}]}, "item_resource_type": {"attribute_name": "\u8cc7\u6e90\u30bf\u30a4\u30d7", "attribute_value_mlt": [{"resourcetype": "thesis", "resourceuri": "http://purl.org/coar/resource_type/c_46ec"}]}, "item_title": "Study on Operational Optimization of a Combined Energy System with Photovoltaic Power Generation", "item_titles": {"attribute_name": "\u30bf\u30a4\u30c8\u30eb", "attribute_value_mlt": [{"subitem_title": "Study on Operational Optimization of a Combined Energy System with Photovoltaic Power Generation"}]}, "item_type_id": "7", "owner": "1", "path": ["2/6"], "permalink_uri": "https://doi.org/10.19000/00007524", "pubdate": {"attribute_name": "\u516c\u958b\u65e5", "attribute_value": "2012-06-14"}, "publish_date": "2012-06-14", "publish_status": "0", "recid": "7530", "relation": {}, "relation_version_is_last": true, "title": ["Study on Operational Optimization of a Combined Energy System with Photovoltaic Power Generation"], "weko_shared_id": 3}