Assessment of the length of rainfall time series for rainwater harvesting in buildings

Geraldi, Matheus Soares; Ghisi, Enedir

doi:10.1016/j.resconrec.2018.02.007

Cited by 26 publications

(4 citation statements)

References 24 publications

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“…To simplify the simulations, no upper rainwater tank was considered. The runoff coefficient was adopted as 0.8 to favour safety and allow compatibility with similar studies that involved simulating generic residential RWH systems [24,27,39,40]. First-flush discharge was defined as 2 mm according to the previous version of the Brazilian technical standard NBR 15527 [41].…”

Section: Computer Simulation Of Rwh Systemsmentioning

confidence: 99%

“…The seasonality index was the rainfall indicator that presented the highest correlation with the net present value of RWH systems, thus linking the financial feasibility of these systems with the uniformity of rainwater distribution throughout the year. Geraldi and Ghisi [40] also pointed out that the rainfall distribution within the year should be incorporated in future works about RWH design, given its important influence in simulation outcomes. Figure 10 shows the correlation between the seasonality index and the net present value.…”

Section: Correlation Analysismentioning

confidence: 99%

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Influence of Design Variables on the Financial Feasibility of Rainwater Harvesting Systems

Istchuk

Ghisi

2023

Water

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Extensive implementation of rainwater harvesting (RWH) systems can promote substantial improvement in urban water resource management. Therefore, establishing the financial feasibility of RWH systems is imperative for their dissemination. This study evaluated the influence of rainfall time series indicators (average annual rainfall, seasonality index and behaviour of periods without precipitation) and design variables (catchment area, rainwater demand, number of inhabitants, potable water demand and rainwater tank size) on the financial feasibility of RWH systems in eight Brazilian cities. Correlations between rainfall indicators and financial feasibility were introduced, along with sensitivity analysis of design variables. Financial feasibility was obtained in 30% to 70% of the simulated scenarios. Initial investment and operating costs varied significantly among the eight cities according to local prices. Systems with a catchment area of 200 m2 were capable of supplying, on average, 90.5% of the maximum rainwater consumption observed in this study. Local variation of potable water tariff schemes affected the financial feasibility of RWH systems. The number of inhabitants was the most influential design variable on the financial feasibility of RWH systems, followed by the rainwater tank size. Places with lower rainfall seasonality indexes and lower incidence and duration of dry periods are likely to lead to greater financial feasibility.

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Section: Computer Simulation Of Rwh Systemsmentioning

confidence: 99%

Section: Correlation Analysismentioning

confidence: 99%

Influence of Design Variables on the Financial Feasibility of Rainwater Harvesting Systems

Istchuk

Ghisi

2023

Water

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“…Namun yang menjadi kendala, tidak semua wilayah memiliki panjang data hujan seperti yang disyaratkan sehingga menggunakan data hujan yang lebih pendek untuk mendesain PAH. Penelitian terkait pengaruh panjang data hujan terhadap simulasi tampungan PAH pada berbagai kota di dunia menunjukkan bahwa panjang data hujan 9 tahun memberikan kemiripan kinerja tampungan dengan panjang data hujan 30 tahun pada kota-kota yang memiliki pola hujan sama (Soares Geraldi & Ghisi, 2018). Indonesia, dengan iklim tropis, memiliki pola hujan berbeda dengan kota-kota dari penelitian sebelumnya yang merupakan wilayah beriklim sub tropis.…”

Section: Pendahuluanunclassified

Pengaruh Pola Dan Panjang Data Hujan Terhadap Desain Penampungan Air Hujan Pada Tiga Stasiun Hujan Di Indonesia

Budirahardjo¹

2022

JSDA

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Penampungan Air Hujan (PAH) merupakan salah satu upaya mandiri untuk memenuhi kebutuhan air rumah tangga. Salah satu parameter input dalam desain PAH adalah hujan, dengan asumsi evaporasi diabaikan. Tiga stasiun hujan di wilayah Indonesia memiliki pola hujan yang berbeda sehingga ingin diketahui sejauh mana pengaruh pola hujan terhadap volume tampungan PAH. Dalam melakukan simulasi tampungan PAH dibutuhkan seri data hujan yang panjang agar hasilnya memiliki tingkat keandalan yang tinggi. Namun tidak semua daerah memiliki seri data hujan yang cukup panjang sehingga ingin dikaji kemungkinan menggunakan data hujan yang lebih pendek dalam mendesain PAH. Pengaruh pola hujan terhadap PAH diuji dengan membandingkan volume tampungan dari ketiga tipe hujan. Tampungan optimal diperoleh dengan mengoptimasi parameter reliabilitas waktu. Pengujian panjang data dilakukan dengan mencari kemiripan antara tingkat penghematan air yang disimulasi dengan data hujan panjang dan data hujan pendek. Dari hasil pengujian disimpulkan bahwa pola hujan mempengaruhi volume tampungan PAH. Pola hujan Ekuatorial dan Lokal membutuhkan volume tampungan yang lebih kecil dibanding pola hujan Monsoon. Karakteristik hujan yang mempengaruhi PAH adalah intensitas dan jumlah hari hujan. Kajian ini juga menyimpulkan bahwa data hujan pendek dapat digunakan untuk mendesain PAH di Indonesia. Panjang data yang memenuhi syarat adalah 15 tahun untuk tipe Ekuatorial, 13 tahun untuk tipe Monsoon dan 9 tahun tipe Lokal. Hasil analisis sensitivitas menunjukkan perubahan kinerja PAH yang diwakili oleh parameter reliabilitas tampungan (output) tidak sensitif terhadap perubahan parameter inputya.Kata Kunci: pemanenan air hujan; pola hujan; seri data; kinerja PAH

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“…In Brazil, several studies have considered the technical evaluation of rainwater harvesting for specific buildings, normally placed in urban centres (Sampaio & Alves 2017;Geraldi & Ghisi 2018), including households (Ghisi & Oliveira 2007;Ghisi et al 2012;Marinoski et al 2018), industrial companies (Azambuja Teixeira et al 2016;Andrade et al 2017) and educational institutions (Salla et al 2013;Marques et al 2014;Amorim et al 2017;Silva et al 2019;Thomé et al 2019).…”

Section: Introductionmentioning

confidence: 99%

Socioeconomic potential for rainwater harvesting systems in southern Brazilian municipalities

et al. 2021

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The implementation of rainwater harvesting (RWH) systems depends on technical and socioeconomic assessments. However, most studies do not consider socioeconomic aspects, which could lead to different degrees of RWH implementation and technology selection due to economic constraints and local regulations. We evaluated the socioeconomic potential for RWH as an alternative for water supply of 24 Southern Brazilian municipalities with less than 50,000 inhabitants. A total of 10,080 RWH configurations were assessed and a reliability analysis was carried out to define the RWH system configurations potentially implementable (RWH+) in each municipality. RWH economic benefits were estimated from a social point of view, based on the reduction of the monthly water payment. Overall, RWH+ supplying higher demands with higher economics savings were feasible, as expected. However, several municipalities that showed RWH+ supplying 100% of the domestic water demands obtained lower economic savings, due to low water tariff and water consumption. Still, a set of municipalities presented RWH+ for rainwater demand replacing 50% to 60% of the residential demand, for which the high-water tariffs reflected in higher economics savings. The advantages of using the RWH systems outstand even more when the investments at Federal and Local levels are considered.

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Assessment of the length of rainfall time series for rainwater harvesting in buildings

Cited by 26 publications

References 24 publications

Influence of Design Variables on the Financial Feasibility of Rainwater Harvesting Systems

Influence of Design Variables on the Financial Feasibility of Rainwater Harvesting Systems

Pengaruh Pola Dan Panjang Data Hujan Terhadap Desain Penampungan Air Hujan Pada Tiga Stasiun Hujan Di Indonesia

Socioeconomic potential for rainwater harvesting systems in southern Brazilian municipalities

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