Green and renewable resources: an assessment of sustainable energy solution for Far North Queensland, Australia
- School of Engineering and Technology, Central Queensland University, Cairns, QLD, 4870, AU
- School of Engineering and Technology, Central Queensland University, Rockhampton, QLD, 4701, AU
- School of Engineering and Technology, Central Queensland University, Gladstone, QLD, 4680, AU
Published in Issue 2022-11-30
How to Cite
Islam, M. K., Hassan, N. M. S., Rasul, M. G., Emami, K., & Chowdhury, A. A. (2022). Green and renewable resources: an assessment of sustainable energy solution for Far North Queensland, Australia. International Journal of Energy and Environmental Engineering, 14(4 (December 2023). https://doi.org/10.1007/s40095-022-00552-y
Abstract
Abstract Remote communities, which do not have a connection to the national grid in Far North Queensland (FNQ), depend on dirty and costly diesel generators to meet their energy demands. The cost of power generation is considerable in those areas, because the diesel fuel must be carried by truck or ship and a fuel reserve must be held on-site in case of expected demand or weather closure. Moreover, Australia has an energy security issue in relation to liquid fuels. Australia is reliant on imported fuel such as diesel to fill the shortage, as domestic production and supply are unable to fulfil domestic demand. As a result, by deploying hybrid integrated renewable energy systems in remote areas, isolated communities may lower their power prices, enjoy a more secure and dependable source of electricity and minimise their carbon footprint by eliminating or reducing the usage of diesel. In this study, an extensive literature review has been conducted focussing on renewable resources for Australia and Far North Queensland, different hybrid energy systems including energy storage, and finally highlights the alternative clean and renewable energy options for Far North Queensland (FNQ) remote communities. In addition, this study has performed an assessment of renewable energy available from solar and wind resources considering climatic, geographical and economic aspects for FNQ. The literature review and the assessment show that solar and wind resources including hydrogen storage have significant potential for energy solution of FNQ. The assessment results indicate that selected regions of FNQ have suitable land area of 142,294.86 km 2 (55.94% of total selected areas) for solar and 144,563.80 km 2 (56.83% of total selected areas) for wind. The total calculated potential power can be 14,448 GW from solar PV and 1040.97 GW from wind energy. This study provides a significant pathway for parties interested in investing in renewable energy in FNQ. Moreover, knowing a land’s suitability will increase confidence and hence speed up the renewable energy investment.Keywords
- Renewable energy,
- Hydrogen,
- Solar farm,
- Wind farm,
- Electrical power potential,
- GIS
References
- IISD: World population to reach 9.9 billion by 2050. (2020) Accessed 12 Sep 2021
- Mandal and Gregory (2010) Hydrogen: A future energy vector for sustainable development 224(3) (pp. 539-558)
- Ergon Energy: Renewables in Far North Queensland. (2020) Accessed 20 April 2021
- Li and Wang (2021) Design and operation of hybrid renewable energy systems: current status and future perspectives
- Mwangi et al. (2015) An overview: energy saving and pollution reduction by using green fuel blends in diesel engines (pp. 214-236)
- Kannan and Vakeesan (2016) Solar energy for future world:-a review (pp. 1092-1105)
- Energy Matters: Wind energy: how a wind turbine works. (2005). Accessed 22 Sep 2022
- Tong (2010) WIT Press Southampton
- Solomon et al. (2020) Exploiting wind-solar resource complementarity to reduce energy storage need 8(5) (pp. 749-770)
- Maggio et al. (2019) How the hydrogen production from res could change energy and fuel markets: a review of recent literature 44(23) (pp. 11371-11384)
- Sazali (2020) Emerging technologies by hydrogen: a review 45(38) (pp. 18753-18771)
- Zhang et al. (2019) Sizing a stand-alone solar-wind-hydrogen energy system using weather forecasting and a hybrid search optimization algorithm (pp. 609-621)
- IPCC: The ocean and cryosphere in a changing cli-mate. Special report.
- Geneva: IPCC, final draft
- , (2019a)
- Melillo, J.M., Richmond, T.T., Yohe, G.: Climate change impacts in the United States: The third national climate assessment.
- Global Change Research Program
- , p 841, (2014)
- Gleditsch (2021) This time is different! Or is it? Neomalthusians and environmental optimists in the age of climate change 58(1) (pp. 177-185)
- NOAA: Climate change and variability. 2021. Accessed 09 April 2021
- Kennedy et al. (2010) How do we know the world has warmed? state of the climate in 2009 (pp. 26-27)
- NOAA: Global climate report - annual 2020. 2020. Accessed 07 April 2021
- IPCC: Global warming of .5°c, special report
- Bindoff, N.L., Cheung, W.W.L., Kairo, J.G., Ar´ıstegui, J., Guinder, V.A., Hallberg, R., Hilmi, N., Jiao, N., Karim, M.S., Levin, L., O’Donoghue, S., Purca Cuicapusa, S.R., Rinkevich, B., Suga, T., Tagliabue, A., Williamson, P.: Changing ocean, marine ecosystems, and dependent communities.
- In: IPCC Special Report on the Ocean and Cryosphere in a Changing Climate
- , 2019
- Pascale et al. (2020) Increasing risk of another cape town “day zero” drought in the 21st century 117(47) (pp. 29495-29503)
- Wilcke et al. (2020) The extremely warm summer of 2018 in sweden – set in a historical context 11(4) (pp. 1107-1121)
- Rimi et al. (2019) Risks of pre-monsoon extreme rainfall events of Bangladesh: is anthropogenic climate change playing a role? 100(1) (pp. S61-S65)
- Keellings and Hernández Ayala (2019) Extreme rainfall associated with hurricane Maria over Puerto Rico and its connections to climate variability and change 46(5) (pp. 2964-2973)
- Meinshausen et al. (2020) The shared socio-economic pathway (ssp) greenhouse gas concentrations and their extensions to 2500 13(8) (pp. 3571-3605)
- Pachauri, R.K., Reisinger, A.: Climate change 2007: synthesis report.
- IPCC, Geneva, Switzerland
- , (2007)
- Ed Dlugokencky. Carbon cycle greenhouse gases, noaa/gml.
- Global Monitoring Laboratory
- . (2021). Accessed 20 April 2021
- EarthCharts: Global greenhouse gas emissions by sector. (2016). Accessed 21 April 2021
- Meinshausen et al. (2017) Historical greenhouse gas concentrations for climate modelling (cmip6) 10(5) (pp. 2057-2116)
- NASA: Global climate change: vital signs of the planet.
- NASA’s Jet Propulsion Laboratory, California Institute of Technology
- . (2021). Accessed 22 April 2021
- Bureau of Meteorology: State of the climate 2020. (2020). Accessed 28 Jan 2022
- CCA: Queensland’s changing climate. (2021). Accessed 28 Jan 2022
- Syktus, J.: Climate change in the Far North Queensland region. (2009). Accessed 17 Jan 2022
- De'ath et al. (2009) Declining coral calcification on the great barrier reef 323(5910) (pp. 116-119)
- Riahi et al. (2017) The shared socioeconomic pathways and their energy, land use, and greenhouse gas emissions implications: an overview (pp. 153-168)
- Stern, N.: The economics of climate change.
- HM Treasury; UK
- , (2006)
- Glikson, D.A.: Beyond 2 degrees celsius.
- Earth and paleoclimate science Australian National University
- , (2011)
- Kompas et al. (2018) The effects of climate change on GDP by country and the global economic gains from complying with the Paris climate accord 6(8) (pp. 1153-1173)
- BP: Statistical review of world energy 2021. (2021). Accessed 08 August 2021
- OPEC: Opec monthly oil market report. (2022). Accessed 5 Feb 2022
- IEA: Gas market report, q1–2022. (2022). Accessed 5 Feb 2022
- IEA: Electricity market report. (2022). Accessed 8 Feb 2022
- Clarke, L., Jiang, K., Akimoto, K., Babiker, M., Blanford, G., Fisher-Vanden, K., Hourcade, J.C., Krey, V., Kriegler, E., Loschel, A. et al.: Climate change 2014: Mitigation of climate change. contribution of working group iii to the fifth assessment report of the intergovernmental panel on climate change. (2014)
- Kraas, F., Leggewie, C., Lemke, P., Matthies, E., Messner, D., Nakicenovic, N., Joachim Schellnhuber H., Schlacke, S., Schneidewind, U., Brandi, C. et al. Entwicklung und Gerechtigkeit durch Transformation: die vier großen I; Sondergutachten. WBGU, (2016)
- Wiki: Far North Queensland. (2021). Accessed 17 Jan 2022
- PIFU-QG: The economic and social impacts of tourism in the Far North Queensland planning region. (2015). Accessed 17 Dec 2021
- Geoscience Australia: Solar. (2020). Accessed 22 Feb 2021
- Bureau of meteorology: Average daily solar exposure. (2016). Accessed 8 Jun 2021
- Li et al. (2020) A review on renewable energy transition in Australia: an updated depiction
- ARENA: Australian energy resource assessment. (2018). Accessed 01 March 2021
- Prasad et al. (2017) Assessment of solar and wind resource synergy in Australia (pp. 354-367)
- Clean Energy Council: Clean energy Australia report 2020. (2020). Accessed 20 Jan 2021
- Yusaf et al. (2011) Potential of renewable energy alternatives in Australia 15(5) (pp. 2214-2221)
- IHA: Hydropower status report 2017, (2017)
- Bahadori et al. (2013) An overview of Australia’s hydropower energy: status and future prospects (pp. 565-569)
- Manasseh et al. (2017) Pioneering developments of marine renewable energy in Australia 8(1) (pp. 50-67)
- Hemer et al. (2017) A revised assessment of Australia’s national wave energy resource (pp. 85-107)
- Behrens, S., Griffin, D., Hayward, J., Hemer, M., Knight, C., McGarry, S., Osman, P., Wright, J.: Ocean renewable energy: 2015–2050. An analysis of ocean energy in Australia. In
- Commonwealth Scientific and Industrial Research Organisation Report
- , p 212. (2012)
- Hemer, M.A., Pitman , T., McInnes, K. Rosebrock, U.: The Australian wave energy atlas. Project overview and final report, (2018)
- Bamber, P., Guinn, A., Gereffi, G.: Burundi in the energy global value chain: Skills for private sector development, 02 (2014)
- Courtecuisse et al. (2010) A methodology to design a fuzzy logic based supervision of hybrid renewable energy systems 81(2) (pp. 208-224)
- Dresselhaus and Thomas (2001) Alternative energy technologies (pp. 332-337)
- Vaishya, M.T.P., Khambra, B.: A review of solar energy based heat and power generation systems. (2021)
- Parida et al. (2011) A review of solar photovoltaic technologies 15(3) (pp. 1625-1636)
- Nema et al. (2009) A current and future state of art development of hybrid energy system using wind and PV-solar: a review 13(8) (pp. 2096-2103)
- Kim and Bae (2017) Decentralized control of a scalable photovoltaic (PV)-battery hybrid power system (pp. 444-455)
- Li et al. (2018) A multi-objective optimization approach for selection of energy storage systems (pp. 213-225)
- Singh et al. (2016) Feasibility study of an islanded microgrid in rural area consisting of pv, wind, biomass and battery energy storage system (pp. 178-190)
- Qoaider and Steinbrecht (2010) Photovoltaic systems: a cost competitive option to supply energy to off-grid agricultural communities in arid regions (pp. 427-435)
- Canales et al. (2020) Assessing temporal complementarity between three variable energy sources through correlation and compromise programming
- Jurasz et al. (2020) A review on the complementarity of renewable energy sources: concept, metrics, application and future research directions (pp. 703-724)
- Ramesh and Saini (2020) Dispatch strategies based performance analysis of a hybrid renewable energy system for a remote rural area in India
- Zhang et al. (2020) Optimal sizing of the grid-connected hybrid system integrating hydropower, photovoltaic, and wind considering cascade reservoir connection and photovoltaic-wind complementarity
- Alirahmi et al. (2020) Multi-objective design optimization of a multi-generation energy system based on geothermal and solar energy
- Murugaperumal and Raj (2019) Feasibility design and techno-economic analysis of hybrid renewable energy system for rural electrification (pp. 1068-1083)
- Li et al. (2020) Optimal design and techno-economic analysis of a solar-wind-biomass off-grid hybrid power system for remote rural electrification: a case study of west china
- Khooban and Gheisarnejad (2020) A novel deep reinforcement learning controller based type-ii fuzzy system: frequency regulation in microgrids 5(4) (pp. 689-699)
- Zhou et al. (2010) Current status of research on optimum sizing of stand-alone hybrid solar–wind power generation systems 87(2) (pp. 380-389)
- Fathabadi (2020) Novel stand-alone, completely autonomous and renewable energy based charging station for charging plug-in hybrid electric vehicles (phevs)
- Glenk and Reichelstein (2019) Economics of converting renewable power to hydrogen 4(3) (pp. 216-222)
- Wang et al. (2020) Renewable production of ammonia and nitric acid 66(6)
- Gökçek (2018) Integration of hybrid power (wind-photovoltaic-diesel-battery) and seawater reverse osmosis systems for small-scale desalination applications (pp. 210-220)
- Maleki (2018) Design and optimization of autonomous solar-wind-reverse osmosis desalination systems coupling battery and hydrogen energy storage by an improved bee algorithm (pp. 221-234)
- Zhang et al. (2019) Integrated design and operation of renewables-based fuels and power production networks (pp. 80-92)
- McCay, M.H., Shafiee, S.: Hydrogen: an energy carrier. In
- Future Energy
- , pp 475–493. Elsevier, (2020)
- Nagpal and Kakkar (2018) An evolving energy solution: intermediate hydrogen storage 43(27) (pp. 12168-12188)
- Okolie et al. (2021) Futuristic applications of hydrogen in energy, biorefining, aerospace, pharmaceuticals and metallurgy 46(13) (pp. 8885-8905)
- de Miranda, P.E.V.: Hydrogen energy: sustainable and perennial. In Science and Engineering of Hydrogen-Based Energy Technologies, pp 1–38. Elsevier, (2019)
- Dinçer and Zamfirescu (2016) Elsevier
- Ren et al. (2008) Combustion and emissions of a di diesel engine fuelled with diesel-oxygenate blends 87(12) (pp. 2691-2697)
- Mohammed and Abdulhaleem (2020) Experimental study of spark ignition engine operated with naphtha or gasoline blended LPG fuel 41(2) (pp. 9-17)
- Coronado et al. (2009) Determination of ecological efficiency in internal combustion engines: the use of biodiesel 29(10) (pp. 1887-1892)
- Bhoi et al. (2016) Insights on the combustion and pyrolysis behavior of three different ranks of coals using reactive molecular dynamics simulation 6(4) (pp. 2559-2570)
- AG: Global leadership in low emissions technologies first low emissions technology statement – 2020. (2020). Accessed 12 Nov 2021
- Heidari et al. (2020) A comprehensive review of renewable energy resources for electricity generation in Australia 14(3) (pp. 510-529)
- Solar Citizens: Welcome to Queensland’s renewable energy boom. (2020). Accessed 2 April 2021
- RE: Renewable energy industry profile. (2018). Accessed 10 July 2021
- Baniyounes, A., Liu, G., Rasul, M. G., Khan, M. M. K. Review on renewable energy potential in Australian subtropical region (central and north Queensland). In Advanced Materials Research, vol 347, pp 3846–3855. Trans Tech Publ, (2012)
- Mishra et al. (2020) Assessment of solar power potential in a hill state of India using remote sensing and geographic information system
- Bureau of Meteorology: Average daily sunshine hours. (2005). Accessed 8 Jun 2021
- Bureau of Meteorology: Monthly mean daily global solar irradiation. (2021). Accessed 20 Dec 2021
- Bureau of Meteorology: Renewable energy atlas of Australia, mean wind speed at 80 m above ground level. (2008). Accessed 15 Feb 2021
- Ali et al. (2019) Gis based site suitability assessment for wind and solar farms in Songkhla, Thailand (pp. 1360-1372)
- Noorollahi et al. (2016) Land suitability analysis for solar farms exploitation using GIS and fuzzy analytic hierarchy process (FAHP)—a case study of Iran 9(8)
- WIKI: Mount emerald wind farm. (2017). Accessed 14 Dec 2021
- RATCH-Australia: Wind turbine model: V117–3.45 mw®. (2017). Accessed 14 Dec 2021
- Aragones-Beltran et al. (2010) An ANP-based approach for the selection of photovoltaic solar power plant investment projects 14(1) (pp. 249-264)
- Yun-na et al. (2013) Macro-site selection of wind/solar hybrid power station based on ideal matter-element model (pp. 76-84)
- Van Haaren and Fthenakis (2011) GIS-based wind farm site selection using spatial multi-criteria analysis (SMCA): evaluating the case for New York State 15(7) (pp. 3332-3340)
- Tavana et al. (2017) A fuzzy multi-criteria spatial decision support system for solar farm location planning (pp. 93-105)
- Chu and Hawkes (2020) A geographic information system-based global variable renewable potential assessment using spatially resolved simulation
- Watson and Hudson (2015) Regional scale wind farm and solar farm suitability assessment using GIS-assisted multi-criteria evaluation (pp. 20-31)
- Saraswat et al. (2021) MCDM and GIS based modelling technique for assessment of solar and wind farm locations in India (pp. 865-884)
- Latinopoulos and Kechagia (2015) A GIS-based multi-criteria evaluation for wind farm site selection. A regional scale application in Greece (pp. 550-560)
- de Assis Tavares et al. (2020) Assessment of the offshore wind technical potential for the Brazilian southeast and south regions
- Sun et al. (2017) Gis-based multiregional potential evaluation and strategies selection framework for various renewable energy sources: a case study of eastern coastal regions of china 5(3) (pp. 123-140)
- DIVA-GIS: Diva-GIS spatial data download. Accessed 14 Dec 2021
- PP: Protected planet. Accessed 14 Dec 2021
- Pope, A., Sietinsone, L.: Airports, University of Edinburgh. (2017). Accessed 14 Dec 2021
- SEDAC: Global rural-urban mapping project, cent. int. earth sci. inf. netw. (ciesin), columbia univ. cuny inst. demogr. res. (cidr), int. food policy res. inst. (ifpri), World Bank. Accessed 14 Dec 2021
- DUE: Esa data user element. Accessed 14 Dec 2021
- Phadke, A., Bharvirkar, R., Khangura, J.: Reassessing Wind Potential Estimates for India: Economic and Policy Implications. Technical report, Lawrence Berkeley National Lab.(LBNL), Berkeley, CA (United States), (2011)
- Siyal et al. (2015) Wind energy assessment considering geographic and environmental restrictions in Sweden: a GIS-based approach (pp. 447-461)
- Jain et al. (2020) Resource potential and variability assessment of solar and wind energy in India
- Aydin et al. (2013) GIS-based site selection methodology for hybrid renewable energy systems: a case study from western turkey (pp. 90-106)
- Uyan (2013) GIS-based solar farms site selection using analytic hierarchy process (AHP) in Karapinar region, Konya/Turkey (pp. 11-17)
- Jangid et al. (2016) Potential zones identification for harvesting wind energy resources in desert region of India–a multi criteria evaluation approach using remote sensing and GIS (pp. 1-10)
- Ayodele et al. (2018) A multi-criteria GIS based model for wind farm site selection using interval type-2 fuzzy analytic hierarchy process: the case study of Nigeria (pp. 1853-1869)
- Bennui, A., Rattanamanee, P., Puetpaiboon, U., Phukpattaranont, P., Chetpattananondh, K.: Site selection for large wind turbine using GIS. In PSU-UNS International Conference on Engineering and Environment, pp 561–566 (2007)
- Aydin et al. (2010) GIS-based environmental assessment of wind energy systems for spatial planning: a case study from western turkey 14(1) (pp. 364-373)
- Infrastructure Australia: National airport safeguarding framework. Accessed 14 Dec 2021
- Ho, C.K., Ghanbari, C.M.: Hazard Analyses of Glint and Glare from Concentrating Solar Power Plants. Technical report, Sandia National Lab.(SNL-NM), Albuquerque, NM (United States), (2009)
- Ho et al. (2015) Evaluation of glare at the Ivanpah solar electric generating system (pp. 1296-1305)
- Anwarzai and Nagasaka (2017) Utility-scale implementable potential of wind and solar energies for Afghanistan using GIS multi-criteria decision analysis (pp. 150-160)
- Krewitt and Nitsch (2003) The potential for electricity generation from on-shore wind energy under the constraints of nature conservation: a case study for two regions in Germany 28(10) (pp. 1645-1655)
- Noorollahi et al. (2016) Multicriteria decision support system for wind farm site selection using GIS (pp. 38-50)
- Dhunny et al. (2019) Identification of optimal wind, solar and hybrid wind-solar farming sites using fuzzy logic modelling
- Vestas: Wind turbine model: V117–3.45 mw®. Accessed 17 Dec 2021
- Climate Council: Rnewables: powering Queensland’s future. (2017). Accessed 3 Nov 2021
- Renew Economy: Australian wind delivers more record low prices, as private sector piles in. (2017). Accessed 3 Nov 2021
- Infrastructure Australia: Australian infrastructure audit 2019: energy. (2019). Accessed 10 Nov 2021
10.1007/s40095-022-00552-y